WO2024176400A1

WO2024176400A1 - Satellite observation assistance system, satellite observation assistance method, and recording medium

Info

Publication number: WO2024176400A1
Application number: PCT/JP2023/006522
Authority: WO
Inventors: 龍之介比護
Original assignee: 日本電気株式会社
Priority date: 2023-02-22
Filing date: 2023-02-22
Publication date: 2024-08-29

Abstract

This satellite observation assistance system comprises a detection unit, an identification unit, and an output control unit. The detection unit detects new news. The identification unit uses a learning model to identify, on the basis of the detected news, a recommended imaging site to be imaged using a satellite for the detected news. The learning model is a model that has been trained on the basis of information relating to imaging, including information representing past news and an imaging site imaged using a satellite for the past news. The output control unit outputs information representing the recommended imaging site.

Description

Satellite observation support system, satellite observation support method, and recording medium

This disclosure relates to a satellite observation support system, etc.

Technology for capturing images using observation satellites is known. For example, when capturing images using a satellite, the locations to be observed are considered and an imaging plan is drawn up.

For example, Patent Document 1 describes how, when an address is included in a news article, the address is used to capture satellite images.

Patent Document 2 also describes a technology that creates a formulated objective function using the indicators and weights used when creating a satellite observation plan, and calculates an optimal solution that maximizes or minimizes the objective function.

JP 2020-173604 A JP 2022-172503 A

It's difficult to decide where to image using satellites.

One example of the objective of this disclosure is to provide a satellite observation support system that can facilitate the determination of imaging locations.

The satellite observation support system according to one aspect of the present disclosure includes a detection means for detecting new news, a specification means for specifying a recommended imaging location to be imaged using a satellite based on the detected news using a learning model trained based on past news and imaging-related information including information representing the imaging location when the past news was imaged using a satellite, and an output control means for outputting information representing the recommended imaging location that has been specified.

In one aspect of the present disclosure, a satellite observation support method detects new news, and uses a learning model trained based on past news and imaging-related information including information representing the imaging location when the past news was captured using a satellite to identify recommended imaging locations to be captured using the satellite based on the detected news, and outputs information representing the identified recommended imaging locations.

A program according to one aspect of the present disclosure causes a computer to execute a process of detecting new news, using a learning model trained based on past news and information relating to imaging, including information representing the imaging location when the past news was captured using a satellite, identifying a recommended imaging location to be imaged using the satellite based on the detected news, and outputting information representing the identified recommended imaging location.

Each program may be stored on a non-transitory computer-readable recording medium.

This disclosure makes it easier to determine the imaging location.

1 is a block diagram showing a configuration example of a satellite observation support system according to a first embodiment; 4 is a flowchart showing an operation example of the satellite observation support system according to the first embodiment. FIG. 2 is an explanatory diagram showing an example of a connection between the satellite observation support system and other devices. FIG. 11 is a block diagram showing a configuration example of a satellite observation support system according to a second embodiment. FIG. 11 is an explanatory diagram showing an example of a screen of a terminal device. 13 is a flowchart showing an operation example of the satellite observation support system according to the second embodiment. FIG. 2 is an explanatory diagram illustrating an example of a hardware configuration of a computer.

Below, with reference to the drawings, an embodiment of the satellite observation support system, satellite observation support method, program, and non-transitory recording medium for recording the program according to the present disclosure will be described in detail. The present embodiment does not limit the disclosed technology.

Here, we will briefly explain an example of operations when observing the Earth using a satellite. Satellite operations for observing the Earth involve repeated planning, observation, data reception, image processing, and analysis. For example, in the planning stage, the imaging location to be observed is considered. Then, in the planning stage, an observation plan for observing the imaging location is drawn up. Then, in the observation stage, the satellite images the imaging location based on the observation plan. Then, in the data reception stage, satellite images from the satellite are received on the ground. In the image processing stage, the satellite images are processed. In the analysis stage, the imaging location is analyzed based on the satellite images. In each embodiment, the satellite observation support system recommends imaging locations.

(Embodiment 1)
First, in the embodiment 1, a basic function of the satellite observation support system will be described. Fig. 1 is a block diagram showing an example of a configuration of the satellite observation support system according to the embodiment 1. The satellite observation support system 10 includes a detection unit 101, an identification unit 102, and an output control unit 103.

The detection unit 101 detects new news. Specifically, for example, the detection unit 101 detects new news from multiple news posted on the Internet, such as SNS (Social Networking Service) and the web. For example, the detection unit 101 may detect news including a sudden keyword. On the other hand, for example, the detection unit 101 may not detect news including a continuous keyword. For example, a continuous keyword is a keyword that appears in a time series with a predetermined frequency or more in a first period. The first period is a long-term period. For example, a keyword that appears every day for more than two months is estimated to be a continuous keyword. A sudden keyword is a keyword that appears in a time series with a frequency less than a predetermined frequency in a first period and appears a predetermined number or more in a second period that is shorter than the first period. The second period is a short-term period. For example, a keyword that appears several tens of times within a few days or hours, even though it has not appeared in the past, is estimated to be a sudden keyword. If the second period is shorter than the first period, the second period and the first period may be determined appropriately depending on the news topic, etc.

The identification unit 102 uses the learning model to identify a recommended imaging location for imaging using a satellite based on the detected news. Here, the learning model is a model that can output an imaging location when news is input. The learning model is, for example, a model that has been learned based on information about imaging that includes past news and information indicating the imaging location when the past news was imaged using a satellite. Specifically, for example, the identification unit 102 inputs the detected news into the learning model and acquires a recommended imaging location from the learning model, thereby identifying the recommended imaging location.

The output control unit 103 outputs information representing the identified recommended imaging location. The information representing the recommended imaging location is not limited to, for example, the country name or place name of the recommended imaging location, or the latitude and longitude of the recommended imaging location. As an output method, for example, the output control unit 103 causes an output device to output the information representing the recommended imaging location. For example, the type of output device is not limited to, for example, a display device, an audio output device, a terminal device, a lighting device, or a combination of these. In addition, the output control unit 103 may output the detected news in association with the information representing the recommended imaging location. For example, the output control unit 103 recommends the recommended imaging location by outputting information representing the identified recommended imaging location.

(flowchart)
2 is a flowchart showing an example of an operation of the satellite observation support system 10 according to the first embodiment. The detection unit 101 detects new news from news on the Internet, such as SNS and the web (step S101). The identification unit 102 uses a learning model to identify recommended image capture locations based on the news (step S102). The output control unit 103 outputs information indicating the recommended image capture locations (step S103), and the satellite observation support system 10 ends the process.

For example, when news is about natural disasters such as earthquakes and tsunamis, or man-made disasters such as war, the news is highly likely to include information indicating the disaster location. Disasters can spread from the disaster location to other locations. There are cases where other locations that may spread from the disaster location should be imaged. For example, when the disaster is a tsunami, the other locations include locations where the tsunami may reach other than the location where it originated. For example, when the disaster is a war, the other locations include locations where third-country institutions related to the parties to the war are located other than the countries involved in the war. For example, if the location indicated by the address information included in the news is simply used as the imaging location, there is a risk that images of the imaging location that will be needed later will not be obtained. In addition, it is time-consuming for a person in charge of deciding imaging locations to read each news item and consider imaging locations from each news item.

For example, past news and imaging locations distributed for past news are likely to include not only disaster locations but also locations that may spread from the disaster location. In embodiment 1, the satellite observation support system 10 identifies recommended imaging locations for new news using a learning model trained based on information related to imaging, including information indicating the imaging locations when the past news was captured using a satellite. The satellite observation support system 10 outputs information indicating the identified recommended imaging locations. In this way, recommended imaging locations are obtained using past performance. For example, by checking the recommended imaging locations for the news, a person in charge can easily determine imaging locations that may be required for the news. In this way, it is possible to facilitate the determination of imaging locations. It is possible to improve the efficiency of the work required for satellite observation.

(Embodiment 2)
Next, the second embodiment will be described in detail with reference to the drawings. In the second embodiment, an example will be described in which, in addition to the recommended imaging location, at least one of the type of imaging image, the number of imaging times or imaging period, the imaging range, and the priority level is recommended. Below, the description of the contents that overlap with the above description will be omitted to the extent that the description of the second embodiment is not unclear.

FIG. 3 is an explanatory diagram showing an example of a connection between the satellite observation support system and other devices. The satellite observation support system 20 is connected to a terminal device 21 via a communication network NT. For example, the terminal device 21 is a device that can be operated by a person in charge of planning satellite operations related to Earth observation. The type of the terminal device 21 is not particularly limited, and may be a PC (Personal Computer), a smartphone, a tablet device, or the like. An application program that transmits information to the satellite observation support system 20 and receives and displays information from the satellite observation support system 20 may be installed in the terminal device 21.

The satellite observation support system 20 can also access news posted on the Internet via the communications network NT.

FIG. 4 is a block diagram showing an example configuration of a satellite observation support system 20 according to the second embodiment. The satellite observation support system 20 has, for example, a detection unit 201, an identification unit 202, an output control unit 203, an image capture time derivation unit 204, an acquisition unit 205, and a learning unit 206. The satellite observation support system 20 is obtained by adding the image capture time derivation unit 204, the acquisition unit 205, and the learning unit 206 to the satellite observation support system 10 according to the first embodiment.

The detection unit 201 may have the function of the detection unit 101 according to the first embodiment as a basic function. The identification unit 202 may have the function of the identification unit 102 according to the first embodiment as a basic function. The output control unit 203 may have the function of the output control unit 103 according to the first embodiment as a basic function.

<Learning Phase>
First, the learning phase will be described.

The acquisition unit 205 acquires information about past news and images captured by satellites for past news. As an acquisition method, for example, the acquisition unit 205 may acquire information about images via a communication network, or may acquire information about images from a database.

For example, the information regarding imaging includes information indicating the imaging location when imaging was performed using a satellite in past news. As mentioned above, the information indicating the imaging location may be the place name, latitude, and longitude of the imaging location, etc.

In addition, for example, the information on imaging may include information indicating the type of captured image when past news was captured using a satellite. For example, the type of captured image may be a visible light image captured by a visible light sensor, an image captured by a SAR (Synthetic Aperture Radar), or a combination of these. Since the captured image is used in different ways depending on the application, it is highly likely that the type of captured image will be determined according to the application. For example, SAR can capture images through clouds, so observations can be made regardless of weather. For example, SAR can observe topographical changes due to volcanic or seismic activity, deforestation monitoring, flooded areas and ship movements, etc. For example, visible light sensors observe the distribution of plants, the color of the sea, the state of the earth's surface in urban areas, etc. As a characteristic of each image, an image captured using a visible light sensor is an easy-to-see image, and an image captured using a SAR is a black and white image. There is no particular limitation on the method of expressing the information indicating the type of captured image.

For example, the information regarding imaging may include information indicating at least one of the number of images taken and the imaging period when images of past news items were taken using a satellite. For example, the number of images taken is a specific number such as 1 time, 2 times, or 10 times. For example, the imaging period is a period such as one week, one month, or six months. For example, when specifying imaging of the progress of the imaging location, such as changes in the topography, regular observation is desirable. To give a more detailed example, if the news is about a river flooding, there is a high possibility that regular observations will be made along the river.

In addition, for example, the information regarding imaging may include information indicating the imaging range when imaging past news items using a satellite. The information indicating the imaging range may be information that indicates the imaging range in multiple stages, such as wide area, small area, etc. For example, when news items are about the weather, there is a high possibility that imaging will be performed over a wide area.

In addition, for example, imaging information includes information indicating the priority of observations from imaging locations for past news. In the planning stage of satellite operations for Earth observation, various candidate observation locations are identified. When drawing up an observation plan, observations may overlap due to the satellite's position, etc., so in reality, observations may be narrowed down from multiple candidate observation locations to locations with high priority. For example, if the priorities are the same, a person in charge will check the candidate observation locations and select one. For example, the priority is likely to be highest in the order of war, natural disasters, and general weather. Also, for example, two different natural disasters may have different priorities.

For example, the learning unit 206 learns to predict the imaging location based on past news and information about imaging of the past news. Also, for example, the learning unit 206 learns to predict at least one of the type of captured image, the number of times captured, or the imaging period, the imaging range, and the priority, in addition to the imaging location, based on past news and information about imaging of the past news. The objective variables of the learning model 2001 are the imaging location, and at least one of the type of captured image, the number of times captured, or the imaging period, the imaging range, and the priority. The explanatory variables of the learning model 2001 are the news information. Note that the news information is not particularly limited to information contained in the news that indicates the location, time, people's names, the extent of the disaster, etc.

<Inference Phase>
Next, the inference phase will be described.

As explained in the first embodiment, the detection unit 201 detects new news. The detection method by the detection unit 201 is as explained in the first embodiment. The detection unit 201 only needs to detect new news in real time.

The identification unit 202 identifies recommended imaging locations based on the detected news using the learning model 2001. The identification unit 202 inputs the detected news into the learning model 2001 and acquires recommended imaging locations from the learning model 2001, thereby identifying recommended imaging locations for the detected news.

Furthermore, for example, the identification unit 202 may use the learning model 2001 to identify a recommended type of image to be captured at a recommended imaging location based on the detected news. The identification unit 202 inputs the detected news into the learning model 2001 and acquires the recommended type from the learning model 2001 to identify the recommended type.

Furthermore, for example, the identification unit 202 may use the learning model 2001 to identify an imaging range to be imaged at a recommended imaging location based on the detected news. The identification unit 202 inputs the detected news into the learning model 2001 and acquires the recommended imaging range from the learning model 2001 to identify the recommended imaging range.

Furthermore, for example, the identification unit 202 may use the learning model 2001 to identify at least one of the recommended number of times imaging is to be performed at the recommended imaging location and the recommended imaging period based on the detected news. The identification unit 202 inputs the detected news into the learning model 2001, and acquires at least one of the recommended number of times imaging is performed and the recommended imaging period from the learning model 2001, thereby identifying at least one of the recommended number of times imaging is performed and the recommended imaging period.

Furthermore, for example, the identification unit 202 may identify the priority of observation at the recommended imaging location based on the detected news using the learning model 2001. The identification unit 202 inputs the detected news into the learning model 2001 and acquires the priority from the learning model 2001, thereby identifying the priority of observation at the recommended imaging location.

The imaging time derivation unit 204 derives a recommended imaging time for imaging the identified recommended imaging point using a satellite based on the identified recommended imaging point and the performance and position of the satellite. The position of the satellite is the current position of the satellite. The performance of the satellite is information on the device mounted on the satellite. The performance of the satellite may be the type of sensor mounted on the satellite, the resolution and capabilities of the sensor, etc. The information on the performance of the satellite and the information on the position of the satellite may be acquired via a communication network or the like. For example, the imaging time derivation unit 204 derives the time at which the satellite passes the recommended imaging point based on the performance and position of the satellite, and identifies the estimated time as the recommended imaging time. The recommended imaging date and time may be derived without being limited to the recommended imaging time.

The output control unit 203 outputs information representing the recommended imaging location, information representing the recommended type, information representing at least one of the recommended number of imaging sessions and the recommended imaging period, information representing the recommended imaging range, information representing the priority, and information representing the recommended imaging time. This allows the output control unit 203 to recommend the recommended imaging location, the recommended type, at least one of the recommended number of imaging sessions and the recommended imaging period, the recommended imaging range, the priority, and the recommended imaging time. Here, an example will be given in which the output control unit 203 causes the terminal device 21 to display each piece of information.

FIG. 5 is an explanatory diagram showing an example screen of the terminal device 21. Specifically, for example, the output control unit 203 causes the terminal device 21 of the person in charge to display the detected news, information indicating the recommended imaging location, information indicating the recommended type, information indicating at least one of the recommended number of imaging attempts and the recommended imaging period, information indicating the recommended imaging range, information indicating the priority, and information indicating the recommended imaging time. For example, the output control unit 203 may cause the recommended imaging locations to be identifiable on a map.

In FIG. 5, the screen of the terminal device 21 includes a link that allows access to the detected news. For example, when the person in charge clicks on a link, the news at the linked destination may be superimposed on the screen of the terminal device 21.

In FIG. 5, the screen of the terminal device 21 displays "xxx" as the recommended imaging location, "wide area" as the recommended imaging range, "continuous" as the recommended number of imaging attempts, "visible light" as the recommended type of image to be captured, "high" as the priority, and "18:20" as the recommended imaging time.

In addition, in FIG. 5, a map of the world is displayed on the screen of the terminal device 21. In FIG. 5, an arrow is attached to the map on the screen of the terminal device 21. The arrow indicates a recommended imaging location.

(flowchart)
6 is a flowchart showing an example of an operation of the satellite observation support system 20 according to the second embodiment. The detection unit 201 detects new news from news on the Internet, such as SNS and the Web (step S201). The identification unit 202 uses the learning model 2001 to identify a recommended imaging location, a recommended type, at least one of a recommended number of imaging attempts and a recommended imaging period, a recommended imaging range, and a priority based on the new news (step S202).

The imaging time derivation unit 204 derives a recommended imaging time at which the recommended imaging location can be imaged based on the recommended imaging location, the satellite's performance, and the satellite's current position (step S203). The output control unit 203 then recommends new news, a recommended imaging location, a recommended type, at least one of a recommended number of imaging attempts and a recommended imaging period, a recommended imaging range, a priority, and a recommended imaging time (step S204), and the satellite observation support system 20 ends the process.

As described above, in the second embodiment, the information regarding imaging includes information indicating the type of image captured by a satellite for past news. The satellite observation support system 20 uses the learning model 2001 to identify the recommended type of image to be captured by a satellite for the detected news based on the detected news, and recommends the recommended imaging location and the recommended type. This allows the person in charge to easily determine the imaging location to be captured for new news and the type of image to be captured when capturing the imaging location. This makes it possible to improve the efficiency of the work required for satellite observation.

In addition, the information regarding imaging includes information indicating the imaging range when imaging past news items using a satellite. The satellite observation support system 20 uses the learning model 2001 to identify the recommended imaging range for imaging using a satellite for the detected news items based on the detected news items, and recommends the recommended imaging location and the recommended imaging range. This allows the person in charge to easily determine the imaging location to be imaged for new news items and the imaging range of the imaging location. This makes it possible to improve the efficiency of the work required for satellite observation.

The imaging-related information includes information indicating at least one of the number of imaging times and the imaging period when imaging past news items using a satellite. The satellite observation support system 20 uses the learning model 2001 to identify at least one of the recommended number of imaging times and the recommended imaging period for the detected news items using a satellite, based on the detected news items. The satellite observation support system 20 recommends a recommended imaging location and at least one of the identified recommended number of imaging times and recommended imaging period. This allows the person in charge to easily determine the imaging location for imaging new news items, the recommended number of imaging times, the recommended imaging period, etc. This makes it possible to improve the efficiency of the work required for satellite observation.

The imaging-related information includes information indicating the priority of satellite observation for past news. The satellite observation support system 20 identifies the priority of observation using recommended imaging locations and recommends recommended imaging locations and priorities. This allows the person in charge to easily determine the priority of whether to image the recommended imaging locations for new news. This makes it possible to improve the efficiency of the work required for satellite observation.

The satellite observation support system 20 also derives a recommended imaging time for imaging the recommended imaging point identified using a satellite based on the identified recommended imaging point and the satellite's performance and position, and recommends the recommended imaging point and recommended imaging time. This allows the person in charge to easily determine the imaging time for imaging the recommended imaging point for new news. This makes it possible to improve the efficiency of the work required for satellite observation.

In addition, the satellite observation support system 20 detects news that includes sudden keywords. The satellite observation support system 20 does not detect news that includes continuous keywords. This makes it possible to recommend observation points for news that is likely to be in high demand.

This concludes the description of each embodiment. Each embodiment may be modified. Also, each embodiment may be used in appropriate combination. Also, in each embodiment, the satellite

observation support systems

10 and 20 may be configured to include each functional unit and part of the information.

Furthermore, each embodiment is not limited to the above-mentioned examples, and various modifications are possible. Furthermore, the configuration of the satellite

observation support system

10, 20 in the embodiment is not particularly limited. For example, the satellite

observation support system

10, 20 may be realized by a single device, such as a single server. When each functional unit of the satellite

observation support system

10, 20 is realized by a single device, for example, the single device may be called a satellite observation support device, an information processing device, or the like, and is not particularly limited. Alternatively, the satellite

observation support system

10, 20 in each embodiment may be realized by different devices depending on the function or data. For example, each functional unit may be configured by multiple servers and realized as the satellite

observation support system

10, 20. For example, the satellite

observation support system

10, 20 may be realized by a database server including each DB (Database) and a server having each functional unit.

Furthermore, in each embodiment, each piece of information and each DB may include a portion of the above-mentioned information. Furthermore, each piece of information and each DB may include information other than the above-mentioned information. Each piece of information and each DB may be divided into multiple DBs or multiple pieces of information in more detail, or may be one DB.

The process of generating information to be displayed on the terminal device 21 may be performed by the output control units 103 and 203. This process may also be performed by the terminal device 21.

(Example of computer hardware configuration)
Next, an example of a hardware configuration in which each device, such as the satellite

observation support systems

10 and 20 and the terminal device 21 described in each embodiment, is realized by a computer will be described. Fig. 7 is an explanatory diagram showing an example of a hardware configuration of a computer. For example, a part or all of each device can be realized by using any combination of a computer 80 and a program as shown in Fig. 7.

The computer 80 has, for example, a processor 801, a ROM (Read Only Memory) 802, a RAM (Random Access Memory) 803, and a storage device 804. The computer 80 also has a communication interface 805 and an input/output interface 806. Each component is connected to the other via, for example, a bus 807. Note that the number of each component is not particularly limited, and there may be one or more of each component.

The processor 801 controls the entire computer 80. The processor 801 may be, for example, a CPU (Central Processing Unit), a DSP (Digital Signal Processor), a GPU (Graphics Processing Unit), a MPU (Micro Processing Unit), an FPU (Floating point number Processing Unit), a PPU (Physics Processing Unit), a TPU (Tensor Processing Unit), a quantum processor, or a combination of these.

The computer 80 also has a ROM 802, a RAM 803, and a storage device 804 as storage units. Examples of the storage device 804 include semiconductor memory such as flash memory, a hard disk drive (HDD), and a solid state drive (SSD). For example, the storage device 804 stores an OS (operating system) program, application programs, and programs related to each embodiment. Alternatively, the ROM 802 stores application programs and programs related to each embodiment. And the RAM 803 is used as a work area for the processor 801.

The processor 801 also loads programs stored in the storage device 804, ROM 802, etc. The processor 801 then executes each process coded in the program. The processor 801 may also download various programs via the communications network NT. The processor 801 also functions as a part or all of the computer 80. The processor 801 may then execute the processes or instructions in the illustrated flowchart based on the program.

The communication interface 805 is connected to a communication network NT, such as a LAN (Local Area Network) or a WAN (Wide Area Network), via a wireless or wired communication line. The communication network NT may be composed of multiple communication networks NT. As a result, the computer 80 is connected to an external device or an external computer 80 via the communication network NT. The communication interface 805 serves as an interface between the communication network NT and the inside of the computer 80. The communication interface 805 also controls the input and output of data from the external device or the external computer 80.

The input/output interface 806 is connected to at least one of an input device, an output device, and an input/output device. The connection method may be wireless or wired. Examples of the input device include a keyboard, a mouse, and a microphone. Examples of the output device include a display device, a lighting device, and an audio output device that outputs audio. Examples of the input/output device include a touch panel display. The input device, output device, and input/output device may be built into the computer 80 or may be external.

The hardware configuration of the computer 80 is an example. The computer 80 may have some of the components shown in FIG. 7. The computer 80 may have components other than those shown in FIG. 7. For example, the computer 80 may have a drive device or the like. The processor 801 may read out programs and data stored in a recording medium attached to the drive device or the like to the RAM 803. Examples of non-transient tangible recording media include optical disks, flexible disks, magnetic optical disks, and USB (Universal Serial Bus) memories. As described above, for example, the computer 80 may have input devices such as a keyboard and a mouse. The computer 80 may have an output device such as a display. The computer 80 may also have an input device, an output device, and an input/output device.

The computer 80 may also have various sensors (not shown). The type of sensor is not particularly limited. The computer 80 may also have an imaging device capable of capturing images and videos.

This concludes the explanation of the hardware configuration of each device. There are also various variations in the method of implementing each device. For example, each device may be implemented by any combination of a different computer and program for each component. Furthermore, multiple components of each device may be implemented by any combination of a single computer and program.

Furthermore, some or all of the components of each device may be realized by circuits for a specific application. Further, some or all of the components of each device may be realized by general-purpose circuits including a processor such as an FPGA (Field Programmable Gate Array). Further, some or all of the components of each device may be realized by a combination of circuits for a specific application and general-purpose circuits. Further, these circuits may be a single integrated circuit. Alternatively, these circuits may be divided into multiple integrated circuits. The multiple integrated circuits may be configured by being connected via a bus or the like.

In addition, if some or all of the components of each device are realized by multiple computers, circuits, etc., the multiple computers, circuits, etc. may be centralized or distributed.

The satellite observation support method described in each embodiment is realized by being executed by the satellite

observation support systems

10 and 20. Also, for example, the satellite observation support method is realized by having a computer such as a server or a terminal device execute a program prepared in advance.

The programs described in each embodiment are recorded on a computer-readable recording medium such as a HDD, SSD, flexible disk, optical disk, magneto-optical disk, or USB memory. The programs are then read from the recording medium by a computer and executed. The programs may also be distributed via a communications network NT.

Each of the components of the satellite

observation support systems

10 and 20 in each of the embodiments described above may have their functions realized by dedicated hardware, such as a computer. Alternatively, each component may be realized by software. Alternatively, each component may be realized by a combination of hardware and software.

Although the present disclosure has been described above with reference to each embodiment, the present disclosure is not limited to the above-mentioned embodiment. The configuration and details of each of the present disclosures may include embodiments to which various modifications that a person skilled in the art may understand within the scope of the present disclosure are applied. The present disclosure may include embodiments in which the matters described in this specification are appropriately combined or substituted as necessary. For example, matters described using a specific embodiment may also be applied to other embodiments to the extent that no contradiction occurs. For example, although multiple operations are described in order in the form of a flowchart, the order of description does not limit the order in which the multiple operations are performed. Therefore, when implementing each embodiment, the order of the multiple operations may be changed to the extent that the content is not impaired.

A part or all of the above-described embodiments can also be described as follows. However, a part or all of the above-described embodiments is not limited to the following.

(Appendix 1)
A detection means for detecting new news;
a specifying means for specifying a recommended imaging location for imaging using a satellite based on the detected news, using a learning model that is trained based on past news and imaging-related information including information indicating an imaging location when the past news was imaged using a satellite;
an output control means for outputting information representing the identified recommended imaging location;
A satellite observation support system equipped with:
(Appendix 2)
The information regarding the image capture includes information indicating a type of captured image when the past news was captured by the satellite,
The specifying means specifies a recommended type of image to be captured by the satellite based on the detected news using the learning model; and
The output control means outputs information representing the recommended imaging location and information representing the identified recommended type.
2. A satellite observation support system as described in appendix 1.
(Appendix 3)
The information regarding the image capture includes information indicating an image capture range when the past news was captured using the satellite,
The identification means identifies a recommended imaging range for imaging using the satellite based on the detected news by using the learning model;
The output control means outputs information representing the recommended imaging point and information representing the identified recommended imaging range.
3. A satellite observation support system according to claim 1 or 2.
(Appendix 4)
The information regarding the imaging includes information indicating at least one of the number of imaging times and an imaging period when the past news was imaged using the satellite,
The determination means determines at least one of a recommended number of times of imaging using the satellite and a recommended imaging period based on the detected news using the learning model,
The output control means outputs information representing the recommended imaging location and information representing at least one of the identified recommended number of times and the identified recommended imaging period.
4. A satellite observation support system according to any one of claims 1 to 3.
(Appendix 5)
The information regarding the image capture includes information indicating a priority when the image of the past news was captured using the satellite,
The specifying means specifies a priority of observation by the recommended imaging point,
the output control means outputs information representing the recommended imaging points and information representing the priority.
5. A satellite observation support system according to any one of claims 1 to 4.
(Appendix 6)
an imaging time deriving means for deriving a recommended imaging time for imaging the recommended imaging point using the satellite based on the identified recommended imaging point, performance of the satellite, and a position of the satellite;
the output control means outputs information representing the recommended imaging location and information representing the recommended imaging time.
6. A satellite observation support system according to any one of claims 1 to 5.
(Appendix 7)
the detection means detects news items including a sudden keyword from a plurality of news items posted on the Internet;
7. A satellite observation support system according to any one of claims 1 to 6.
(Appendix 8)
The detection means does not detect news including a continuous keyword from the plurality of news.
8. A satellite observation support system as described in appendix 7.
(Appendix 9)
Discover new news,
Identifying a recommended imaging location for imaging using a satellite based on the detected news using a learning model trained based on past news and imaging-related information including information representing an imaging location when the past news was imaged using a satellite;
outputting information representing the identified recommended imaging location;
Satellite observation support methods.
(Appendix 10)
On the computer,
Discover new news,
Identifying a recommended imaging location for imaging using a satellite based on the detected news using a learning model trained based on past news and imaging-related information including information representing an imaging location when the past news was imaged using a satellite;
outputting information representing the identified recommended imaging location;
A program that executes a process.
(Appendix 11)
On the computer,
Identifying a recommended imaging location for imaging using a satellite based on the detected news using a learning model trained based on past news and imaging-related information including information representing an imaging location when the past news was imaged using a satellite;
outputting information representing the identified recommended imaging location;
A non-transitory recording medium readable by the computer, which records a program for executing a process.

10, 20 Satellite observation support system 21 Terminal device 80

Computer

101, 201

Detection unit

102, 202 Identification unit 103, 203 Output control unit 204 Imaging time derivation unit 205 Acquisition unit 206 Learning unit 801 Processor 802 ROM
803 RAM
804 Storage device 805 Communication interface 806 Input/output interface 807 Bus 2001 Learning model NT Communication network

Claims

A detection means for detecting new news;
a specifying means for specifying a recommended imaging location for imaging using a satellite based on the detected news, using a learning model trained based on past news and imaging-related information including information indicating an imaging location when the past news was imaged using a satellite;
an output control means for outputting information representing the identified recommended imaging location;
A satellite observation support system equipped with:
The information regarding the image capture includes information indicating a type of captured image when the past news was captured by the satellite,
The specifying means specifies a recommended type of image to be captured by the satellite based on the detected news using the learning model; and
The output control means outputs information representing the recommended imaging location and information representing the identified recommended type.
The satellite observation support system according to claim 1.
The information regarding the image capture includes information indicating an image capture range when the past news was captured using the satellite,
The identification means identifies a recommended imaging range for imaging using the satellite based on the detected news by using the learning model;
The output control means outputs information representing the recommended imaging point and information representing the identified recommended imaging range.
3. A satellite observation support system according to claim 1 or 2.
The information regarding the imaging includes information indicating at least one of the number of imaging times and an imaging period when the past news was imaged using the satellite,
The determination means determines at least one of a recommended number of times of imaging using the satellite and a recommended imaging period based on the detected news using the learning model,
The output control means outputs information representing the recommended imaging location and information representing at least one of the identified recommended number of times and the identified recommended imaging period.
4. A satellite observation support system according to claim 1.
The information regarding the image capture includes information indicating a priority when the image of the past news was captured using the satellite,
The specifying means specifies a priority of observation by the recommended imaging point,
the output control means outputs information representing the recommended imaging points and information representing the priority.
5. A satellite observation support system according to claim 1.
an imaging time deriving means for deriving a recommended imaging time for imaging the recommended imaging point using the satellite based on the identified recommended imaging point, performance of the satellite, and a position of the satellite;
the output control means outputs information representing the recommended imaging location and information representing the recommended imaging time.
6. A satellite observation support system according to claim 1.
the detection means detects news items including a sudden keyword from a plurality of news items posted on the Internet;
7. A satellite observation support system according to claim 1.
The detection means does not detect news including a continuous keyword from the plurality of news.
The satellite observation support system according to claim 7.
Discover new news,
Identifying a recommended imaging location for imaging using a satellite based on the detected news using a learning model trained based on past news and imaging-related information including information representing an imaging location when the past news was imaged using a satellite;
outputting information representing the identified recommended imaging location;
Satellite observation support methods.
On the computer,
Discover new news,
Identifying a recommended imaging location for imaging using a satellite based on the detected news using a learning model trained based on past news and imaging-related information including information representing an imaging location when the past news was imaged using a satellite;
outputting information representing the identified recommended imaging location;
A non-transitory recording medium readable by the computer, which records a program for executing a process.