CN101847393B - Method for processing remote sensing image - Google Patents

Abstract

The processing method of the remote sensing image map solves the technical problem that the remote sensing image map is not suitable for hand-held terminal devices because the content of the remote sensing image map is used for submission. The technical solution adopted is to first create a display area, load the default remote sensing image map into the display area, and The remote sensing image is set as the initial layer and the sequence code is written and stored in the memory; the remote sensing image of the above initial layer is proportionally divided into two-dimensional regions with M×N pictures (M, N are greater than 1, less than or equal to Integer of 10), any one of the above M×N pictures is subjected to R-fold enlarged detail image as the next layer, and the corresponding sequence code is written for the detail image corresponding to each picture and stored in the memory ( R is a positive number greater than 1 and less than or equal to 10); the detail image map of the latter layer is divided into two-dimensional regions with M×N pictures in proportion, until the processing of the detail image map of the last layer is completed.

Description

The Processing Method of Remote Sensing Image

technical field

The invention relates to a processing method for remote sensing images, in particular to a processing method based on a three-dimensional array model, which is suitable for portable handheld terminal equipment.

Background technique

With the development of science and technology and the improvement of people's living standards, miniaturized electronic products are becoming more and more popular. Some handheld devices with electronic maps have also entered people's lives, such as navigators with GPS functions, smart phones, and some special communication devices. The characteristic of remote sensing image map is that the image is fine and contains corresponding latitude and longitude information. While bringing convenience to people's lives, it is also accompanied by some problems. For example, image files are generally relatively large in size. Due to the limited storage space of handheld terminals and high memory usage, when searching for an image, no matter whether it is zoomed in or zoomed out, only the entire image can be loaded, but it can only be displayed in the display area. Part of the content is displayed, which leads to a very slow image processing speed, and also wastes resources, and is not suitable for application in handheld terminal devices. Therefore, it is necessary to find a suitable method to solve the problem of high image memory usage, and solve it, and finally adapt to the portable handheld terminal device.

Contents of the invention

The purpose of the present invention is to solve the technical problem that the remote sensing image map is not suitable for handheld terminal equipment due to the high memory occupation, and a processing method for the remote sensing image map is designed, and the remote sensing image map is stored in the memory with the idea of a three-dimensional array model , it is convenient to call the image map when zooming in and zooming out.

The technical scheme that the present invention adopts for realizing the purpose of the invention is, the processing method of remote sensing image map, above-mentioned processing method is to store in memory after the remote sensing image map is processed by the CPU that has supporting management software program, and above-mentioned method is mostly in array Realized under the mathematical model, the specific steps are as follows:

A. Create a display area, load the default remote sensing image into the display area, set the remote sensing image as the initial layer and write the sequence code to store in the memory;

B. Proportionally divide the remote sensing image map of the above initial layer into a two-dimensional area with M×N pictures (M, N are integers greater than 1 and less than or equal to 10), any one of the above M×N pictures Carry out the detailed image map after the R times magnification process as the next layer, and write the corresponding sequence code to the detailed image map corresponding to each picture and store it in the memory (R is a positive number greater than 1 and less than or equal to 10);

C, repeating step B, dividing the detail image map of the latter layer into two-dimensional regions with M×N pictures in proportion, until the processing of the last layer of detail image map is completed; the last layer of detail image map is target image;

D. The CPU searches the serial code in the memory, calls the corresponding detail image and displays it in the display area.

The key point of the present invention is that if it is to be applied to handheld terminal equipment, it is necessary to solve the problem of small storage capacity in the handheld terminal equipment. Therefore, the existing loaded entire image is modified to load the required image, and the image in the display area is further divided. , the user can selectively load the corresponding enlarged image of the next layer or the reduced image of the previous layer according to the needs, and write a sequence identification code for each image image on each layer, and store them separately to facilitate the CPU to call the memory images in .

The beneficial effects of the present invention are: the present invention does not need to load the entire image when processing the remote sensing image, and selectively calls the image from the memory according to the needs of the user and loads it into the display area, thereby greatly reducing the use of the memory; The three-dimensional array model structure can adjust the displayed image in real time, and the processing speed is fast, which is suitable for handheld terminal equipment; the software command is simple, and the number of layers in the three-dimensional array can be adjusted by setting the value of the magnification R of each layer. Easy to upgrade the system.

The present invention will be described in detail below in conjunction with the accompanying drawings.

Description of drawings

Fig. 1 is a remote sensing image diagram of a specific embodiment.

FIG. 2 is a schematic diagram of dividing regions in FIG. 1 .

In the accompanying drawings, 1 is a bird's-eye view taken by the satellite of the 0th layer in the two-dimensional array, and 1-1, 1-2...1-9 are the nine images of the first layer of the two-dimensional array.

Detailed ways

The processing method of the remote sensing image map, the above processing method is stored in the memory after the remote sensing image map is processed by the CPU with a supporting management software program, the above-mentioned method is mostly realized under the mathematical model of an array, and the specific steps are as follows:

A. Create a display area, load the default remote sensing image into the display area, set the remote sensing image as the initial layer and write the sequence code to store in the memory;

B. Proportionally divide the remote sensing image map of the above initial layer into a two-dimensional area with M×N pictures (M, N are integers greater than 1 and less than or equal to 10), any one of the above M×N pictures Carry out the detailed image map after the R times magnification process as the next layer, and write the corresponding sequence code to the detailed image map corresponding to each picture and store it in the memory (R is a positive number greater than 1 and less than or equal to 10);

C, repeating step B, dividing the detail image map of the latter layer into two-dimensional regions with M×N pictures in proportion, until the processing of the last layer detail image map is completed;

D. The CPU searches the serial code in the memory, calls the corresponding detail image and displays it in the display area.

The value of R is set according to the principle of the ratio between the magnification of each layer and the number of layers.

During processing, the resolution of the detail image map is consistent with the default remote sensing image map.

In the above step D, the CPU searches for the sequence codes adjacent to a group of detail images in the same layer, and displays them in the display area.

The above steps further include: when the detail image in each layer is shifted in eight directions and the detail image exceeds the display area, the CPU calls the next detail image adjacent to the detail image according to the direction of translation.

Specific examples will be given below for description. Referring to Figure 1, a pair of remote sensing images (such as the initial overhead view 1 taken by satellites, first load the overhead view 1 to the center of the display area, the overhead view 1 is the first layer of the three-dimensional array; the overhead view 1 is divided into 3 in proportion There are 9 areas in total ×3. At this time, the values of M and N are both 3, and the sequence codes are written for each of the 9 areas. Refer to Figure 2. The 9 areas are respectively divided into 1-1, 1-2...1-9 Indicates that the image maps of 9 regions enlarged by R times are used as the second layer of the three-dimensional array; 3×3 division, a total of 81 image maps; and so on, until zoomed in to the last layer. If the value of R is 3, the display size of each image map in each layer is consistent with the top view 1, The value of R can be set according to the design principle, and R is inversely proportional to the number of layers of the three-dimensional array. During operation, if the user cannot get the details he wants to see in the top view 1, he can choose 1-1, 1- 2...Any area in 1-9 is selectively enlarged for the next layer, and the CPU will call the image map of the next layer according to the number of layers and the position in the number of layers until the target image map is obtained.

The method of writing sequence codes for the 9 regions mentioned above is: for the convenience of explanation, take the 8-bit binary code as an example, set the top view 1 as 00000001, which represents the first image of the 0th layer, such as 01100101, then Represents the 6th layer and the 5th image map; if roaming operation is required at this time, when the detail image map exceeds the display area, the CPU will call the next detail image map adjacent to the detail image map according to the direction of translation.

Claims (5)

1. The processing method of the remote sensing image map, the above processing method is stored in the memory after the remote sensing image map is processed by the CPU with a supporting management software program, it is characterized in that: the described method is mostly realized under the mathematical model of an array Yes, the specific steps are as follows: A. Create a display area, load the default remote sensing image into the display area, set the remote sensing image as the initial layer and write the sequence code to store in the memory; B. Proportionally divide the remote sensing image map of the above initial layer into a two-dimensional area with M×N pictures (M, N are integers greater than 1 and less than or equal to 10), any one of the above M×N pictures Carrying out the detailed image map after R-fold zoom-in processing is used as the next layer, and writes the corresponding sequence code for the detailed image map corresponding to each picture and stores it in the memory, wherein R is a positive number greater than 1 and less than or equal to 10; C, repeating step B, dividing the detail image map of the latter layer into two-dimensional regions with M×N pictures in proportion, until the processing of the last layer of detail image map is completed; the last layer of detail image map is target image; D. The CPU searches the serial code in the memory, calls the corresponding detail image and displays it in the display area. 2. The processing method of remote sensing imagery according to claim 1, characterized in that: the numerical value of R is set according to the ratio principle of the multiple of each layer and the number of layers. 3. The method for processing remote sensing imagery according to claim 1, characterized in that: during the processing, the resolution of the detail imagery is consistent with the default remote sensing imagery. 4. The processing method of remote sensing images according to claim 1, characterized in that: in the step D, the CPU searches for a sequence code adjacent to a group of detailed image images in the same layer, and displays them in the display area. 5. The processing method of remote sensing image according to claim 1, characterized in that: described steps also include: when the detail image in each layer is translated in eight directions, when the detail image exceeds the display area, CPU Depending on the direction of translation, the next detail image adjacent to the detail image is invoked.