CN106841116A - The detection method and device of artificial blue target - Google Patents
The detection method and device of artificial blue target Download PDFInfo
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- CN106841116A CN106841116A CN201611249031.6A CN201611249031A CN106841116A CN 106841116 A CN106841116 A CN 106841116A CN 201611249031 A CN201611249031 A CN 201611249031A CN 106841116 A CN106841116 A CN 106841116A
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Abstract
The present invention relates to the detection method and device of a kind of artificial blue target, the method includes：The airborne-remote sensing of scene to be detected is gathered, and the airborne-remote sensing is pre-processed；According to pretreated airborne-remote sensing, the vegetation index of each pixel is calculated, and filter out pixel of the vegetation index more than the first preset value；Photochemistry reflectivity index of the vegetation index more than the pixel of the first preset value is calculated, pixel of the photochemistry reflectivity index more than the second preset value is filtered out as the artificial blue target.The present invention is first distinguished vegetative coverage region with non-vegetative coverage region by vegetation index, then the true vegetation in vegetative coverage region and artificial blue target are distinguished by photochemistry reflectivity index again, so as to realize the detection of artificial blue target, so as to solve the current effective detection problem with the artificial blue target of true vegetation " homochromy with spectrum ".
Description
Technical field
The present invention relates to remote sensoring technology field, more particularly, to the detection method and dress of a kind of artificial blue target
Put.
Background technology
Camouflage refers to the difference for reducing or reducing target and background as far as possible at the aspect such as color or geometric shape, improves mesh
Mark and the similitude of background, reach vanishing target or the purpose such as mix the spurious with the genuine, and the chameleon (chameleon) of such as nature, decoration are used
Artificial flower vacation grass etc..At present, color camouflage is a kind of camouflage phenomenon being widely present in nature and daily life, in public base
The fields such as Infrastructure, military affairs are also most commonly seen, such as military green camouflage, false lawn.Green material is a kind of important artificial camouflage
Material, with continuing to develop for detection means, artificial camouflage do not require nothing more than with real plants " homochromy ", i.e., color is close, and
It is required that and real plants " with spectrum ", the i.e. reflection characteristic in visible-near-infrared spectrum scope (400nm-2500nm) and true plant
Thing is approximate.
The detection or detection of target are the inverse process of camouflage, i.e., thin on spectrum or geometric shape with background using target
Elementary errors is different, and the process of target is identified from background.Artificial camouflage is constantly promoted in the contradiction of target acquisition technology
Enter development, confrontation high spectrum resolution remote sensing technique emerging at present is developed into from initial color close " metamerism " of only pursuing
" homochromy with spectrum " camouflage of detection.As shown in figure 1, being five kinds of true vegetation and four kinds of artificial blue targets in 400~2500nm
The reflectance spectrum curve of wave band, five kinds of vegetation therein are meadow (being represented with Vegetation1), great Ye vegetation (use
Vegetation2 is represented), green bristlegrass (being represented with Vegetation3), shrub (being represented with Vegetation4), epipremnum aureum (use
Vegetation5 is represented), four kinds therein artificial blue targets are that artificial dark green cloth (uses Camou_Dgreen_cloth tables
Show), artificial light green cloth (being represented with Camou_green_cloth), artificial dark green metallic plate (use Camou_Dgreen_plate tables
Show), artificial light green metallic plate (being represented with Camou_green_plate), Soil therein represents soil.Can from Fig. 1
Go out, the reflection spectrum curve of artificial blue target and true vegetation is much like, especially Visible-to-Near InfaRed wave band model (400~
1000nm), not only there is obvious green reflection peak near 550nm, and there is vegetation in 700~900nm wavelength bands
Red side effect, and occur vegetation reflection shoulder in 800~950nm wavelength bands, these four artificial blue targets and five kinds are true
Real vegetation has nearly reached " homochromy with spectrum ", and effectively differentiation is difficult to using conventional arts such as Spectral matchings.
Therefore, it is necessary to provide a kind of object detection method and device for target and background " homochromy with spectrum ".
The content of the invention
For disadvantages described above, the present invention provides the detection method and device of a kind of artificial blue target, can be with
In a first aspect, the detection method of the artificial blue target of present invention offer includes：
The airborne-remote sensing of scene to be detected is gathered, and the airborne-remote sensing is pre-processed；
According to pretreated airborne-remote sensing, the vegetation index of each pixel is calculated, and screened
Go out pixel of the vegetation index more than the first preset value；
Calculate photochemistry reflectivity index of the vegetation index more than the pixel of the first preset value, screening
Go out pixel of the photochemistry reflectivity index more than the second preset value as the artificial blue target.
Optionally, the pixel of the photochemistry reflectivity index more than the second preset value that filter out is used as described artificial
Before blue target, methods described also includes：The vegetation index is calculated more than the pixel of the first preset value
The sun induces chlorophyll fluorescence；
Corresponding, the pixel of the photochemistry reflectivity index more than the second preset value that filter out is used as described artificial
Blue target, including：The photochemistry reflectivity index is filtered out more than the second preset value and sun induction chlorophyll is glimmering
Light is less than the pixel of the 3rd preset value as the artificial blue target.
Optionally, the sun induction leaf for calculating the pixel that the photochemistry reflectivity index is more than the second preset value is green
Plain fluorescence, including：
Concealed wire method is taken using not bright standing grain or spectrum simulation method calculates the sun induction chlorophyll fluorescence.
Optionally, the sun induction chlorophyll fluorescence is calculated using following formula：
In formula, FinFor the sun induces chlorophyll fluorescence,For actual measurement spoke of the pixel at absorption concealed wire wave band is bright
Degree,It is baseline spoke brightness of the pixel at absorption concealed wire wave band,For reference white plate is absorbing the actual measurement spoke at concealed wire wave band
Brightness,For reference white plate is absorbing the baseline spoke brightness at concealed wire wave band.
Optionally, pixel or reference white plate are calculated using following formula and is absorbing the baseline spoke brightness at concealed wire wave band
In formula, λoutRIt is pixel or reference white plate in the wavelength of the right side reference wave band being not affected by atmospheric effects, λoutLIt is pixel
Or reference white plate is in the wavelength of the left side reference wave band being not affected by atmospheric effects, λinIt is that pixel or reference white plate are absorbing concealed wire wave band
Wavelength,It is pixel or reference white plate in the actual measurement spoke brightness of the left side reference wave band being not affected by atmospheric effects,It is pixel
Or reference white plate is in the actual measurement spoke brightness of the right side reference wave band being not affected by atmospheric effects.
Optionally, the vegetation index is calculated using following formula：
In formula, NDVI is the vegetation index, ρNIRMost absorb the red wave band reflection of paddy by force for chlorophyll
Rate, ρRIt is near infrared band peak reflectivity caused by blade construction.
Optionally, the photochemistry reflectivity index is calculated using following formula：
In formula, PRI is the photochemistry reflectivity index, ρ531Be under default intense light irradiation pixel in the anti-of 531nm wave bands
Penetrate rate, ρ570It is reflectivity of the pixel in 570nm wave bands under default intense light irradiation.
Optionally, the airborne-remote sensing of the collection scene to be detected, including：Treated using the collection of bloom spectrum sensor
Detect the airborne-remote sensing of scene；
It is corresponding, it is described before the airborne-remote sensing that the use bloom spectrum sensor gathers scene to be detected
Method also includes：Spectral calibration and radiation calibration are carried out to the bloom spectrum sensor.
Optionally, it is described spectral calibration and radiation calibration are carried out to the bloom spectrum sensor to include：
Spectral calibration is carried out to the bloom spectrum sensor using monochromator or Atmospheric Absorption concealed wire；
Radiation calibration is carried out to the bloom spectrum sensor using integrating sphere, Absolute Radiometric Calibration Coefficients are obtained.
Second aspect, the detection means of the artificial blue target that the present invention is provided includes：
Data acquisition module, the airborne-remote sensing for gathering scene to be detected, and to the Hyperspectral imaging number
According to being pre-processed；
First screening module, for according to pretreated airborne-remote sensing, the normalization for calculating each pixel to be poor
Divide vegetation index, and filter out pixel of the vegetation index more than the first preset value；
Second screening module, it is photochemical more than the pixel of the first preset value for calculating the vegetation index
Reflectivity index is learned, pixel of the photochemistry reflectivity index more than the second preset value is filtered out as the artificial green mesh
Mark.
The detection method and device of the artificial blue target that the present invention is provided, first will by vegetation index
Vegetative coverage region distinguishes with non-vegetative coverage region, then by photochemistry reflectivity index by vegetative coverage region
True vegetation and artificial blue target distinguish, so as to realize the detection of artificial blue target, thus solve it is current with it is true
The effective detection problem of the artificial blue target of vegetation " homochromy with spectrum ".
Brief description of the drawings
In order to illustrate more clearly of the embodiment of the present disclosure or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Disclosed some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these figures.
Fig. 1 shows the reflection spectrum curve of five kinds of true vegetation and four kinds of artificial blue targets；
Fig. 2 shows the schematic flow sheet of the detection method of artificial blue target in one embodiment of the invention；
Fig. 3 shows the schematic diagram of five kinds of true vegetation and four kinds of NDVI of artificial blue target；
Fig. 4 shows the schematic diagram of five kinds of true vegetation and four kinds of PRI of artificial blue target；
Fig. 5 shows the transmitting fluorescence spectrum schematic diagram of the blade of true vegetation；
Fig. 6 shows the schematic flow sheet of the detection method of artificial blue target in another embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present disclosure, the technical scheme in the embodiment of the present disclosure is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the disclosure, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of disclosure protection.
The present invention provides a kind of detection method of artificial blue target, as shown in Fig. 2 the method includes：
The airborne-remote sensing of S1, collection scene to be detected, and the airborne-remote sensing is pre-processed；
S2, according to pretreated airborne-remote sensing, calculate the vegetation index of each pixel, and sieve
Select pixel of the vegetation index more than the first preset value；
It will be appreciated that so-called vegetation index is NDVI, it is the most widely used plant of remote sensing fields
By index, the information such as vegetative coverage, water content are reflected.NDVI is for extracting vegetative coverage region with non-vegetation-covered area
One threshold value in domain, between -1 and 1, negative value represents covered ground cloud, water, snow etc., and 0 represents overlying rock, soil etc., just
Value represents covering vegetation, and covering vegetation here includes true vegetation and the artificial green mesh with true vegetation " homochromy with spectrum "
Mark.As shown in Figure 3, there is provided five kinds of true vegetation (Veg1, Veg2, Veg3, Veg4, Veg5) and four kinds of artificial blue targets
The NDVI values of (Cam1, Cam2, Cam3, Cam4), true vegetation represents that artificial blue target is used with Vegatation
Camouflage represents that NDVI values are related to two wave bands 800nm and 670nm, from figure 3, it can be seen that artificial blue target
With the green color index NDVI of true vegetation very close to, be all higher than 0.55, represent that covered ground has vegetation, therefore can be by setting
The mode of the first preset value filters out the corresponding pixel of true vegetation and the corresponding picture of artificial blue target in scene to be detected
Unit, reduces the scope of detection, is that follow-up further screening is prepared.First preset value therein can be arranged as required to, example
Such as 0,0.55.
S3, the calculating vegetation index are more than the photochemistry reflectivity index of the pixel of the first preset value,
Pixel of the photochemistry reflectivity index more than the second preset value is filtered out as the artificial blue target.
It will be appreciated that photochemistry reflectivity index is PRI (Photochemical reflectance index),
Vegetation physiological reflex rate index is, the efficiency of light energy utilization with vegetation blade is closely related, if its main physical principles is incident light
The strong energy that can be used more than photosynthesis, unnecessary luminous energy will be converted into the form of heat leakage to avoid Photosynthetic from being subject to
Destruction.The heat leakage of luminous energy be lutein from epoxidation state be changed into the decylization state of oxidation caused by result, and this pigment
The change of form can cause PRI to be reduced to negative value, and artificial blue target will not occur the physiological phenomenon of Zeaxanthin cycle.As schemed
Shown in 4, five kinds of PRI values of vegetation are respectively less than 0, and the PRI values of four kinds of artificial blue targets are all higher than 0, therefore can be at one day
Under middle intense light irradiation, artificial blue target and true vegetation are distinguished by setting PRI threshold values.Figure 4, it is seen that second is default
Value can select 0, certainly it is also an option that being more than 0 but the numerical value less than 0.5, other can also according to specific needs be selected certainly
Numerical value.
In the detection method of the artificial blue target that the present invention is provided, first by vegetation index by vegetation
Overlay area distinguishes with non-vegetative coverage region, then again will be true in vegetative coverage region by photochemistry reflectivity index
Real vegetation and artificial blue target are distinguished, so as to realize the detection of artificial blue target.The present invention considers artificial green mesh
The essential difference of the photosynthetic physiological characteristics between mark and true vegetation, although that is, artificial blue target in color and spectrally with very
Real vegetation is more and more close, but the former does not possess biological phenomena, does not have the physiological characteristics such as photochemical vitality.The present invention exactly profit
This essential difference is used, the current effective detection problem with the artificial blue target of true vegetation " homochromy with spectrum " is solved.
Tests prove that, true vegetation launches the fluorescence of red, as shown in Figure 5 from ground under UV light-induced
Knowable to the blade emission spectrum of the true vegetation for extracting, it is about 650nm~800nm's for Portable imaging spectrum instrument FISS
There is response in visible ray~near infrared spectrum interval, especially has two emission peaks at 685nm and 740nm, here it is truly
The fluorescence that vegetation blade leaf green molecule is launched by photoinduction, and artificial blue target is without this physiological property, it is therein
Wavelength represents wavelength, and leaf Fluoreacence spectra represent blade fluorescence pattern.Therefore sieved described in S3
Before pixel of the photochemistry reflectivity index more than the second preset value is selected as the artificial blue target, methods described
Can also include：Calculate the vegetation index glimmering more than the sun induction chlorophyll of the pixel of the first preset value
Light；Corresponding, the pixel of the photochemistry reflectivity index more than the second preset value that filter out is used as the artificial green
Target, it may include：The photochemistry reflectivity index is filtered out more than the second preset value and sun induction chlorophyll fluorescence
Less than the 3rd preset value pixel as the artificial blue target.That is, above-mentioned S3 is replaced with：Calculate the normalizing
Change photochemistry reflectivity index and sun induction chlorophyll fluorescence of the difference vegetation index more than the pixel of the first preset value, screening
Go out the photochemistry reflectivity index more than the second preset value and sun induction chlorophyll fluorescence is less than the 3rd preset value
Pixel is used as the artificial blue target.
Here, sun induction chlorophyll fluorescence is also served as into a screening conditions, pixel is further screened.Can manage
Solution, sun induction chlorophyll fluorescence is SIF, and chlorophyll fluorescence is connected closely with vegetation Photosynthetic capacity and biological yield, quilt
It is considered the preferable probe of photosynthesis of plant, therefore can be used to distinguish true vegetation and artificial blue target, increases here
One screening conditions, therefore increased the accuracy of detection.3rd preset value therein can be selected as needed, and such as 0.
In the specific implementation, sun induction chlorophyll fluorescence can be calculated using various methods, this present invention is not limited
It is fixed, wherein optional two methods take concealed wire method or spectrum simulation method for not bright standing grain.
In the specific implementation, the sun induction chlorophyll fluorescence can be calculated using following formula：
In formula, FinFor the sun induces chlorophyll fluorescence,For actual measurement spoke of the pixel at absorption concealed wire wave band is bright
Degree,It is baseline spoke brightness of the pixel at absorption concealed wire wave band,For reference white plate is absorbing the actual measurement spoke at concealed wire wave band
Brightness,For reference white plate is absorbing the baseline spoke brightness at concealed wire wave band.
In fact, above-mentioned formula is a kind of not bright standing grain expense concealed wire method of triple channel.
Pixel therein or reference white plate are absorbing the baseline spoke brightness at concealed wire wave bandCan be calculated using following formula：
In formula, λoutRIt is pixel or reference white plate in the wavelength of the right side reference wave band being not affected by atmospheric effects, λoutLIt is pixel
Or reference white plate is in the wavelength of the left side reference wave band being not affected by atmospheric effects, λinIt is that pixel or reference white plate are absorbing concealed wire wave band
Wavelength,It is pixel or reference white plate in the actual measurement spoke brightness of the left side reference wave band being not affected by atmospheric effects,It is pixel
Or reference white plate is in the actual measurement spoke brightness of the right side reference wave band being not affected by atmospheric effects.
In the specific implementation, the vegetation index can be calculated using following formula：
In formula, NDVI is the vegetation index, ρNIRMost absorb the red wave band reflection of paddy by force for chlorophyll
Rate, ρRIt is near infrared band peak reflectivity caused by blade construction.
In the specific implementation, when light application ratio is stronger suffered by vegetation, lutein is changed into decylization oxidation from epoxidation state
State, what this change was directly resulted in is the decline of the reflectivity at 531nm, but is not almost had to the reflectivity at 570nm
Influence.And the reflectivity that artificial blue target will not occur at the physiological phenomenon of Zeaxanthin cycle, and 531nm is slightly larger than 570nm
The reflectivity at place.It is therefore possible to use following formula calculates the photochemistry reflectivity index：
In formula, PRI is the photochemistry reflectivity index, ρ531Be under default intense light irradiation pixel in the anti-of 531nm wave bands
Penetrate rate, ρ570It is reflectivity of the pixel in 570nm wave bands under default intense light irradiation.
In the specific implementation, the airborne-remote sensing of scene to be detected can be gathered in S1 using bloom spectrum sensor,
Such as ground Portable imaging spectrum instrument, airborne hyperspectral imager etc..The spectral region of bloom spectrum sensor is generally required to be covered
Lid 400-900nm, spectral resolution is better than 5nm, especially in O2- A band (760nm) is better than 1nm, and signal to noise ratio is better than 500：1.Choosing
The spectral region of 400-900nm is selected because may be related to when subsequent parameter is calculated, for example, the calculating of NDVI be related to it is red
Light absorbs paddy wave band (such as 670nm) and near-infrared reflection spike section (such as 800nm), the calculating of PRI is related to visible light wave range
531nm and 570nm；The calculating of SIF is related to O2- A absorption bandses 760nm and it is front and rear not receive O2The reference wave band of-A inhalation effects is (such as
756nm and 770nm).
In the specific implementation, in order to improve gathered data accuracy, can also before collection to EO-1 hyperion sense
Device carries out spectral calibration and radiation calibration, is specifically as follows：The EO-1 hyperion is sensed using monochromator or Atmospheric Absorption concealed wire
Device carries out spectral calibration；Radiation calibration is carried out to the bloom spectrum sensor using integrating sphere, Absolute Radiometric Calibration Coefficients are obtained.
The Absolute Radiometric Calibration Coefficients can be calculated using below equation：
In formula, LeThe brightness of method spoke and original figure quantized value at bloom spectrum sensor entrance pupil are respectively with DN, offset is
Dark current is biased, and t and F is respectively the imaging system time of integration and f-number size, and K and Bias is acquired in indoor integrating sphere
Reference radiation calibration coefficient, λiIt is wavelength.
In the specific implementation, the pretreatment in S1 can work as height including noise reduction, radiation calibration and/or reflectivity conversion etc.
Spectrum image data be airborne hyperspectral data if, it is necessary to carry out atmospheric correction treatment.
Second aspect, the present invention provides a kind of detection means of artificial blue target, and the device includes：
Data acquisition module, the airborne-remote sensing for gathering scene to be detected, and to the Hyperspectral imaging number
According to being pre-processed；
First screening module, for according to pretreated airborne-remote sensing, the normalization for calculating each pixel to be poor
Divide vegetation index, and filter out pixel of the vegetation index more than the first preset value；
Second screening module, it is photochemical more than the pixel of the first preset value for calculating the vegetation index
Reflectivity index is learned, pixel of the photochemistry reflectivity index more than the second preset value is filtered out as the artificial green mesh
Mark.
Second aspect present invention provide artificial blue target detection means for first aspect present invention provide it is artificial
The function structure module of the detection method of blue target, it is about the explanation of content, illustration, beneficial effect, optional
Implementation method etc. refers to the corresponding contents in first aspect present invention, will not be repeated here.
In specification of the invention, numerous specific details are set forth.It is to be appreciated, however, that embodiments of the invention can be with
Put into practice in the case of without these details.In some instances, known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this description.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
The present invention has been described in detail, it will be understood by those within the art that；It still can be to foregoing each implementation
Technical scheme described in example is modified, or carries out equivalent to which part technical characteristic；And these modification or
Replace, do not make the spirit and scope of the essence disengaging various embodiments of the present invention technical scheme of appropriate technical solution.
Claims (10)
1. a kind of detection method of artificial blue target, it is characterised in that including：
The airborne-remote sensing of scene to be detected is gathered, and the airborne-remote sensing is pre-processed；
According to pretreated airborne-remote sensing, the vegetation index of each pixel is calculated, and filter out institute
State pixel of the vegetation index more than the first preset value；
Photochemistry reflectivity index of the vegetation index more than the pixel of the first preset value is calculated, institute is filtered out
Pixel of the photochemistry reflectivity index more than the second preset value is stated as the artificial blue target.
2. method according to claim 1, it is characterised in that described to filter out the photochemistry reflectivity index more than the
Before the pixel of two preset values is as the artificial blue target, methods described also includes：Calculate the normalization difference vegetation
Sun induction chlorophyll fluorescence of the index more than the pixel of the first preset value；
Corresponding, the pixel of the photochemistry reflectivity index more than the second preset value that filter out is used as the artificial green
Target, including：The photochemistry reflectivity index is filtered out more than the second preset value and sun induction chlorophyll fluorescence is small
In the 3rd preset value pixel as the artificial blue target.
3. method according to claim 2, it is characterised in that the calculating photochemistry reflectivity index is more than second
The sun induction chlorophyll fluorescence of the pixel of preset value, including：
Concealed wire method is taken using not bright standing grain or spectrum simulation method calculates the sun induction chlorophyll fluorescence.
4. according to the method in claim 2 or 3, it is characterised in that the sun induction chlorophyll is calculated using following formula glimmering
Light：
In formula, FinFor the sun induces chlorophyll fluorescence,It is actual measurement spoke brightness of the pixel at absorption concealed wire wave band,
It is baseline spoke brightness of the pixel at absorption concealed wire wave band,It is actual measurement spoke brightness of the reference white plate at absorption concealed wire wave band,For reference white plate is absorbing the baseline spoke brightness at concealed wire wave band.
5. method according to claim 4, it is characterised in that pixel or reference white plate are calculated using following formula and is absorbing concealed wire
Baseline spoke brightness at wave band
In formula, λoutRIt is pixel or reference white plate in the wavelength of the right side reference wave band being not affected by atmospheric effects, λoutLIt is pixel or ginseng
Examine wavelength of the blank in the left side reference wave band being not affected by atmospheric effects, λinIt is that pixel or reference white plate are absorbing the ripple of concealed wire wave band
It is long,It is pixel or reference white plate in the actual measurement spoke brightness of the left side reference wave band being not affected by atmospheric effects,It is pixel or ginseng
Examine actual measurement spoke brightness of the blank in the right side reference wave band being not affected by atmospheric effects.
6. method according to claim 1, it is characterised in that the vegetation index is calculated using following formula：
In formula, NDVI is the vegetation index, ρNIRMost absorb the red wave band reflectivity of paddy, ρ by force for chlorophyllRFor
Near infrared band peak reflectivity caused by blade construction.
7. method according to claim 1, it is characterised in that the photochemistry reflectivity index is calculated using following formula：
In formula, PRI is the photochemistry reflectivity index, ρ531It is reflection of the pixel in 531nm wave bands under default intense light irradiation
Rate, ρ570It is reflectivity of the pixel in 570nm wave bands under default intense light irradiation.
8. method according to claim 1, it is characterised in that the airborne-remote sensing of the collection scene to be detected,
Including：The airborne-remote sensing of scene to be detected is gathered using bloom spectrum sensor；
It is corresponding, before the airborne-remote sensing that the use bloom spectrum sensor gathers scene to be detected, methods described
Also include：Spectral calibration and radiation calibration are carried out to the bloom spectrum sensor.
9. method according to claim 8, it is characterised in that it is described the bloom spectrum sensor is carried out spectral calibration and
Radiation calibration includes：
Spectral calibration is carried out to the bloom spectrum sensor using monochromator or Atmospheric Absorption concealed wire；
Radiation calibration is carried out to the bloom spectrum sensor using integrating sphere, Absolute Radiometric Calibration Coefficients are obtained.
10. a kind of detection means of artificial blue target, it is characterised in that including：
Data acquisition module, the airborne-remote sensing for gathering scene to be detected, and the airborne-remote sensing is entered
Row pretreatment；
First screening module, for according to pretreated airborne-remote sensing, the normalization difference for calculating each pixel to be planted
By index, and filter out pixel of the vegetation index more than the first preset value；
Second screening module, it is anti-more than the photochemistry of the pixel of the first preset value for calculating the vegetation index
Rate index is penetrated, pixel of the photochemistry reflectivity index more than the second preset value is filtered out as the artificial blue target.
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| CN110794472A (en) * | 2019-10-24 | 2020-02-14 | 中国科学院地理科学与资源研究所 | Detection method of hidden ground objects under vegetation background based on rotor unmanned aerial vehicle |
| CN115615938A (en) * | 2022-12-14 | 2023-01-17 | 天津中科谱光信息技术有限公司 | Water quality analysis method and device based on reflection spectrum and electronic equipment |
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