CN106841116B - 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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- G—PHYSICS
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Abstract
The present invention relates to the detection methods and device of a kind of artificial blue target, this method comprises: acquiring the airborne-remote sensing of scene to be detected, and pre-process to the airborne-remote sensing；According to pretreated airborne-remote sensing, the vegetation index of each pixel is calculated, and filters out the pixel that vegetation index is greater than the first preset value；The photochemistry reflectivity index that vegetation index is greater than the pixel of the first preset value is calculated, filters out pixel of the photochemistry reflectivity index greater than the second preset value as the artificial blue target.The present invention passes through vegetation index first and distinguishes vegetative coverage region and non-vegetative coverage region, then again by photochemistry reflectivity index by vegetative coverage region true vegetation and artificial blue target distinguish, to realize the detection of artificial blue target, to solve effective detection problem with the artificial blue target of true vegetation " homochromy with spectrum " at present.
Description
Technical field
The present invention relates to remote sensoring technology fields, more particularly, to the detection method and dress of a kind of artificial blue target
It sets.
Background technique
Camouflage refer to color or in terms of mitigate or reduce the difference of target and background as far as possible, improve mesh
The similitude of mark and background, the purpose of reaching hiding target or mix the spurious with the genuine, such as the chameleon (chameleon) of nature, decoration are used
Artificial flower vacation grass etc..Currently, 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 the continuous development of detection means, artificial camouflage does not require nothing more than and real plants " homochromy ", i.e., color is close, and
It is required that being planted in the reflection characteristic of visible-near-infrared spectrum range (400nm-2500nm) and really with real plants " with spectrum "
Object is approximate.
The detection or detection of target are the inverse process of camouflage, i.e., thin on spectrum or geometric shape using target and background
Elementary errors is different, and the process of target is identified from background.Artificial camouflage be with constantly promote in the contradiction of target acquisition technology
It sets out exhibition, similar in initial only pursuit color " metamerism " develops to confrontation high spectrum resolution remote sensing technique emerging at present
" 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 indicated with Vegetation1), great Ye vegetation (is used
Vegetation2 indicate), herba setariae viridis (being indicated with Vegetation3), shrub (being indicated with Vegetation4), epipremnum aureum (use
Vegetation5 is indicated), four kinds therein artificial blue targets are that artificial dark green cloth (uses Camou_Dgreen_cloth table
Show), artificial light green cloth (being indicated with Camou_green_cloth), artificial dark green metal plate is (with Camou_Dgreen_plate table
Show), artificial light green metal plate (being indicated with Camou_green_plate), Soil therein indicates soil.It can from Fig. 1
Out, artificial blue target and the reflection spectrum curve of true vegetation are much like, especially Visible-to-Near InfaRed wave band model (400~
1000nm), not only there is apparent green reflection peak near 550nm, but also there are vegetation in 700~900nm wavelength band
Red side effect, and vegetation reflection shoulder occur in 800~950nm wavelength band, these four artificial blue targets and five kinds it is true
Real vegetation has nearly reached " homochromy with spectrum ", is difficult to effectively distinguish using traditional technologies 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 ".
Summary 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 artificial blue target provided by the invention includes:
The airborne-remote sensing of scene to be detected is acquired, and the airborne-remote sensing is pre-processed；
According to pretreated airborne-remote sensing, the vegetation index of each pixel is calculated, and is screened
The vegetation index is greater than the pixel of the first preset value out；
Calculate photochemistry reflectivity index of the vegetation index greater than the pixel of the first preset value, screening
The photochemistry reflectivity index is greater than the pixel of the second preset value as the artificial blue target out.
Optionally, described to filter out the photochemistry reflectivity index greater than the pixel of the second preset value as described artificial
Before blue target, the method also includes: calculate pixel of the vegetation index greater than first preset value
The sun induces chlorophyll fluorescence；
It is corresponding, it is described to filter out the photochemistry reflectivity index greater than the pixel of the second preset value as described artificial
Blue target, comprising: filter out the photochemistry reflectivity index greater than the second preset value and the sun induces chlorophyll glimmering
Light is less than the pixel of third preset value as the artificial blue target.
Optionally, the sun for calculating the pixel that the vegetation index is greater than the first preset value induces leaf
Green element fluorescence, comprising:
Concealed wire method is taken using not bright standing grain or spectrum simulation method calculates the sun induction chlorophyll fluorescence.
Optionally, the sun is calculated using following formula and induces chlorophyll fluorescence:
In formula, FinChlorophyll fluorescence is induced for the sun,It is bright for actual measurement spoke of the pixel at absorption concealed wire wave band
Degree,The baseline spoke brightness at concealed wire wave band is being absorbed for pixel,The actual measurement at concealed wire wave band is being absorbed for reference white plate
Spoke brightness,The baseline spoke brightness at concealed wire wave band is being absorbed for reference white plate.
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, λoutRWavelength for pixel or reference white plate in the right side reference wave band being not affected by atmospheric effects, λoutLFor pixel
Or reference white plate is in the wavelength for the left side reference wave band being not affected by atmospheric effects, λinConcealed wire wave band is being absorbed for pixel or reference white plate
Wavelength,For pixel or reference white plate the left side reference wave band being not affected by atmospheric effects actual measurement spoke brightness,For picture
Actual measurement spoke brightness of the first or reference white plate in 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, ρRFor 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, ρ531For under default intense light irradiation pixel in the anti-of 531nm wave band
Penetrate rate, ρ570For under default intense light irradiation pixel in the reflectivity of 570nm wave band.
Optionally, the airborne-remote sensing of acquisition scene to be detected, comprising: using the acquisition of bloom spectrum sensor to
Detect the airborne-remote sensing of scene；
It is corresponding, it is described before the airborne-remote sensing for acquiring scene to be detected using bloom spectrum sensor
Method further include: spectral calibration and radiation calibration are carried out to the bloom spectrum sensor.
Optionally, described to include: to bloom spectrum sensor progress spectral calibration and radiation calibration
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, obtains Absolute Radiometric Calibration Coefficients.
The detection device of second aspect, artificial blue target provided by the invention includes:
Data acquisition module, for acquiring the airborne-remote sensing of 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 filters out the pixel that the vegetation index is greater than the first preset value；
Second screening module, it is photochemical greater than the pixel of the first preset value for calculating the vegetation index
Reflectivity index is learned, filters out the photochemistry reflectivity index greater than the pixel of the second preset value as the artificial green mesh
Mark.
The detection method and device of artificial blue target provided by the invention, first will by vegetation index
Vegetative coverage region is distinguished with non-vegetative coverage region, then by photochemistry reflectivity index will be in vegetative coverage region
True vegetation and artificial blue target distinguish, to realize the detection of artificial blue target, to solve at present and really
Effective detection problem of the artificial blue target of vegetation " homochromy with spectrum ".
Detailed description of the invention
In order to illustrate more clearly of the embodiment of the present disclosure or technical solution in the prior art, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Disclosed some embodiments for those of ordinary skill in the art without creative efforts, can be with
Other attached 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 flow diagrams of the detection method of blue target artificial in one embodiment of the invention；
Fig. 3 shows the schematic diagram of the NDVI of five kinds of true vegetation and four kinds of artificial blue targets；
Fig. 4 shows the schematic diagram of the PRI of five kinds of true vegetation and four kinds of artificial blue targets；
Fig. 5 shows the transmitting fluorescence spectrum schematic diagram of the blade of true vegetation；
Fig. 6 shows the flow diagram of the detection method of artificial blue target in another embodiment of the present invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present disclosure, the technical solution in the embodiment of the present disclosure is carried out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the disclosure, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment belongs to the range of disclosure protection.
The present invention provides a kind of detection method of artificial blue target, as shown in Fig. 2, this method comprises:
The airborne-remote sensing of S1, acquisition 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 the pixel that the vegetation index is greater than the first preset value；
It will be appreciated that so-called vegetation index, that is, NDVI, 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 and non-vegetation-covered area
One threshold value in domain, between -1 and 1, negative value indicates covered ground cloud, water, snow etc., and 0 indicates overlying rock, soil etc., just
Value indicates that covering vegetation, covering vegetation here include true vegetation and the artificial green mesh with true vegetation " homochromy with spectrum "
Mark.As shown in figure 3, providing five kinds of true vegetation (Veg1, Veg2, Veg3, Veg4, Veg5) and four kinds of artificial blue targets
The NDVI value of (Cam1, Cam2, Cam3, Cam4), true vegetation indicate that artificial blue target is used with Vegatation
Camouflage indicates that NDVI value is 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 being all larger than 0.55, indicate that covered ground has vegetation, therefore setting can be passed through
The mode of first preset value filters out the corresponding pixel of true vegetation and the corresponding picture of artificial blue target in scene to be detected
Member reduces the range of detection, prepares for subsequent further screening.First preset value therein can according to need setting, example
Such as 0,0.55.
S3, the photochemistry reflectivity index that the vegetation index is greater than the pixel of the first preset value is calculated,
Pixel of the photochemistry reflectivity index greater than the second preset value is filtered out as the artificial blue target.
It will be appreciated that photochemistry reflectivity index, that is, PRI (Photochemical reflectance index),
It is vegetation physiological reflex rate index, it is closely related with the efficiency of light energy utilization of vegetation blade, if main physical principles are incident lights
The strong energy being able to use more than photosynthesis, extra luminous energy to be converted into the form of heat leakage to avoid Photosynthetic by
It destroys.The heat leakage of luminous energy is that lutein is changed into caused by the decylization state of oxidation as a result, and this pigment from epoxidation state
The variation of form will lead to PRI and be reduced to negative value, and the physiological phenomenon of Zeaxanthin cycle will not occur for artificial blue target.Such as figure
Shown in 4, the PRI value of five kinds of vegetation is respectively less than 0, and the PRI value of four kinds of artificial blue targets is all larger 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 value.Figure 4, it is seen that second is default
Value can choose 0, certainly it is also an option that being greater than 0 but the numerical value less than 0.5, can also select other according to specific needs certainly
Numerical value.
In the detection method of artificial blue target provided by the invention, pass through vegetation index first for vegetation
Overlay area is distinguished with non-vegetative coverage region, then again will be true in vegetative coverage region by photochemistry reflectivity index
Real vegetation and artificial blue target distinguish, to realize the detection of artificial blue target.The present invention considers artificial green mesh
The essential difference of photosynthetic physiological characteristics between mark and true vegetation, although that is, artificial blue target is in color and spectrally and very
Real vegetation is more and more close, but the former does not have biological phenomena, without physiological characteristics such as photochemical vitalities.The present invention is exactly benefit
With this essential difference, solves current effective detection problem with the artificial blue target of true vegetation " homochromy with spectrum ".
Tests prove that true vegetation under UV light-induced, launches red fluorescence, as shown in Figure 5 from ground
Portable imaging spectrum instrument FISS is from the blade emission spectrum of the true vegetation extracted it is found that it is about 650nm~800nm's
There is response in visible light~near infrared spectrum section, and there are two emission peaks especially at 685nm and 740nm, and here it is true
The fluorescence that vegetation blade leaf green molecule is emitted by photoinduction, and artificial blue target is without this physiological property, it is therein
Wavelength indicates that wavelength, leaf Fluoreacence spectra indicate blade fluorescence pattern.Therefore it is sieved described in S3
Before pixel of the photochemistry reflectivity index greater than the second preset value is selected as the artificial blue target, the method
It can also include: to calculate the vegetation index to induce chlorophyll glimmering greater than the sun of the pixel of the first preset value
Light；Corresponding, the pixel of the photochemistry reflectivity index greater than the second preset value that filter out is as the artificial green
Target, it may include: the photochemistry reflectivity index is filtered out greater than the second preset value and sun induction chlorophyll fluorescence
Less than the pixel of third preset value as the artificial blue target.That is, above-mentioned S3 is replaced are as follows: calculate the normalizing
Change photochemistry reflectivity index and sun induction chlorophyll fluorescence that difference vegetation index is greater than the pixel of the first preset value, screening
The photochemistry reflectivity index is greater than the second preset value out and sun induction chlorophyll fluorescence is less than third preset value
Pixel is as the artificial blue target.
Here, it also regard sun induction chlorophyll fluorescence as a screening conditions, pixel is further screened.It can manage
Solution, the sun induce chlorophyll fluorescence, that is, SIF, and chlorophyll fluorescence is connected closely with vegetation Photosynthetic capacity and biological yield, quilt
It is considered the ideal probe of photosynthesis of plant, therefore can increases here to distinguish true vegetation and artificial blue target
One screening conditions, therefore increase the accuracy of detection.Third preset value therein can according to need selection, such as 0.
In the specific implementation, the sun being calculated using a variety of methods and inducing chlorophyll fluorescence, this present invention is not limited
It is fixed, wherein optional two methods are that not bright standing grain takes concealed wire method or spectrum simulation method.
In the specific implementation, the sun can be calculated using following formula and induces chlorophyll fluorescence:
In formula, FinChlorophyll fluorescence is induced for the sun,It is bright for actual measurement spoke of the pixel at absorption concealed wire wave band
Degree,The baseline spoke brightness at concealed wire wave band is being absorbed for pixel,The actual measurement at concealed wire wave band is being absorbed for reference white plate
Spoke brightness,The baseline spoke brightness at concealed wire wave band is being absorbed for reference white plate.
In fact, above-mentioned formula is a kind of not bright standing grain expense concealed wire method of triple channel.
Pixel or reference white plate therein are absorbing the baseline spoke brightness at concealed wire wave bandIt can be calculated using following formula:
In formula, λoutRWavelength for pixel or reference white plate in the right side reference wave band being not affected by atmospheric effects, λoutLFor pixel
Or reference white plate is in the wavelength for the left side reference wave band being not affected by atmospheric effects, λinConcealed wire wave band is being absorbed for pixel or reference white plate
Wavelength,For pixel or reference white plate the left side reference wave band being not affected by atmospheric effects actual measurement spoke brightness,For picture
Actual measurement spoke brightness of the first or reference white plate in 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, ρRFor near infrared band peak reflectivity caused by blade construction.
In the specific implementation, when the illumination suffered by the vegetation is stronger, lutein is changed into decylization oxidation from epoxidation state
State, what this variation directly resulted in is the decline of the reflectivity at 531nm, but is almost absent to the reflectivity at 570nm
It influences.And the physiological phenomenon of Zeaxanthin cycle will not occur for artificial blue target, and the reflectivity at 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, ρ531For under default intense light irradiation pixel in the anti-of 531nm wave band
Penetrate rate, ρ570For under default intense light irradiation pixel in the reflectivity of 570nm wave band.
In the specific implementation, the airborne-remote sensing of scene to be detected can be acquired in S1 using bloom spectrum sensor,
Such as ground Portable imaging spectrum instrument, airborne hyperspectral imager etc..The spectral region of bloom spectrum sensor, which generally requires, to be covered
400-900nm is covered, spectral resolution is better than 5nm, especially in O2A band (760nm) is better than 1nm, and signal-to-noise ratio is better than 500:1.Choosing
The spectral region for selecting 400-900nm be because may be related to when subsequent parameter calculates, for example, the calculating of NDVI be related to it is red
Light absorption paddy wave band (such as 670nm) and near-infrared reflection spike section (such as 800nm), the calculating of PRI are related to visible light wave range
531nm and 570nm；The calculating of SIF is related to O2- A absorption bands 760nm and front and back be not by O2The reference wave band of-A inhalation effects is (such as
756nm and 770nm).
In the specific implementation, in order to improve the accuracy of acquired data, EO-1 hyperion can also be sensed before acquisition
Device carries out spectral calibration and radiation calibration, is specifically as follows: being sensed using monochromator or Atmospheric Absorption concealed wire to the EO-1 hyperion
Device carries out spectral calibration；Radiation calibration is carried out to the bloom spectrum sensor using integrating sphere, obtains Absolute Radiometric Calibration Coefficients.
The Absolute Radiometric Calibration Coefficients can be calculated using the following equation:
In formula, LeIt is respectively the brightness of method spoke and original figure quantized value at bloom spectrum sensor entrance pupil with DN, offset is
Dark current biasing, t and F are respectively the imaging system time of integration and f-number size, and K and Bias are acquired in indoor integrating sphere
Reference radiation calibration coefficient, λiFor wavelength.
In the specific implementation, the pretreatment in S1 may include noise reduction, radiation calibration and/or reflectivity conversion etc., work as height
If spectrum image data are airborne hyperspectral data, need to carry out atmospheric correction processing.
Second aspect, the present invention provide a kind of detection device of artificial blue target, which includes:
Data acquisition module, for acquiring the airborne-remote sensing of 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 filters out the pixel that the vegetation index is greater than the first preset value；
Second screening module, it is photochemical greater than the pixel of the first preset value for calculating the vegetation index
Reflectivity index is learned, filters out the photochemistry reflectivity index greater than the pixel of the second preset value as the artificial green mesh
Mark.
The detection device for the artificial blue target that second aspect of the present invention provides provides artificial for first aspect present invention
The function structure module of the detection method of blue target, it is explanation, illustration, beneficial effect in relation to content, optional
Embodiment etc. can refer to the corresponding contents in first aspect present invention, and details are not described herein.
In specification of the invention, numerous specific details are set forth.It is to be appreciated, however, that the embodiment of the present invention can be with
It practices without these specific details.In some instances, well known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this specification.
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
Invention is explained in detail, those skilled in the art should understand that；It still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these modification or
Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of detection method of artificial blue target characterized by comprising
The airborne-remote sensing of scene to be detected is acquired, and the airborne-remote sensing is pre-processed；
According to pretreated airborne-remote sensing, the vegetation index of each pixel is calculated, and filters out institute
State the pixel that vegetation index is greater than the first preset value；
Photochemistry reflectivity index of the vegetation index greater than the pixel of the first preset value is calculated, institute is filtered out
Pixel of the photochemistry reflectivity index greater than the second preset value is stated as the artificial blue target.
2. filtering out the photochemistry reflectivity index the method according to claim 1, wherein described and being greater than the
Before the pixel of two preset values is as the artificial blue target, the method also includes: calculate the normalization difference vegetation
The sun that index is greater than the pixel of the first preset value induces chlorophyll fluorescence；
Corresponding, the pixel of the photochemistry reflectivity index greater than the second preset value that filter out is as the artificial green
Target, comprising: filter out the photochemistry reflectivity index greater than the second preset value and the sun induces chlorophyll fluorescence small
In third preset value pixel as the artificial blue target.
3. according to the method described in claim 2, it is characterized in that, described calculate the vegetation index and be greater than the
The sun of the pixel of one preset value induces chlorophyll fluorescence, comprising:
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, which is characterized in that it is glimmering to calculate the sun induction chlorophyll using following formula
Light:
In formula, FinChlorophyll fluorescence is induced for the sun,The actual measurement spoke brightness at concealed wire wave band is being absorbed for pixel,
The baseline spoke brightness at concealed wire wave band is being absorbed for pixel,The actual measurement spoke brightness at concealed wire wave band is being absorbed for reference white plate,The baseline spoke brightness at concealed wire wave band is being absorbed for reference white plate.
5. according to the method described in claim 4, it is characterized in that, calculating pixel or reference white plate using following formula is absorbing concealed wire
Baseline spoke brightness at wave band
In formula, λoutRWavelength for pixel or reference white plate in the right side reference wave band being not affected by atmospheric effects, λoutLFor pixel or ginseng
Blank is examined in the wavelength for the left side reference wave band being not affected by atmospheric effects, λinIt is pixel or reference white plate in the wave for absorbing concealed wire wave band
It is long,For pixel or reference white plate the left side reference wave band being not affected by atmospheric effects actual measurement spoke brightness,For pixel or
Actual measurement spoke brightness of the reference white plate in the right side reference wave band being not affected by atmospheric effects.
6. the method according to claim 1, wherein calculating the vegetation index 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. the method according to claim 1, wherein calculating the photochemistry reflectivity index using following formula:
In formula, PRI is the photochemistry reflectivity index, ρ531For under default intense light irradiation pixel in the reflection of 531nm wave band
Rate, ρ570For under default intense light irradiation pixel in the reflectivity of 570nm wave band.
8. the method according to claim 1, wherein the airborne-remote sensing of acquisition scene to be detected,
It include: the airborne-remote sensing that scene to be detected is acquired using bloom spectrum sensor；
It is corresponding, before the airborne-remote sensing for acquiring scene to be detected using bloom spectrum sensor, the method
Further include: spectral calibration and radiation calibration are carried out to the bloom spectrum sensor.
9. according to the method described in claim 8, it is characterized in that, it is described to the bloom spectrum sensor carry 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, obtains Absolute Radiometric Calibration Coefficients.
10. a kind of detection device of artificial blue target characterized by comprising
Data acquisition module, for acquiring the airborne-remote sensing of scene to be detected, and to the airborne-remote sensing into
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 the pixel that the vegetation index is greater than the first preset value；
Second screening module, it is anti-greater than the photochemistry of the pixel of the first preset value for calculating the vegetation index
Rate index is penetrated, filters out pixel of the photochemistry reflectivity index greater than the second preset value as the artificial blue target.
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| IT201900020174A1 (en) * | 2019-10-31 | 2021-05-01 | Consiglio Nazionale Ricerche | CALIBRATION DEVICE FOR MEASURING THE FLUORESCENCE OF CHLOROPHYLL INDUCED BY SUNLIGHT |
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| CN108416297B (en) * | 2018-03-09 | 2018-11-27 | 河北省科学院地理科学研究所 | A kind of vegetation information method for quickly identifying based on chlorophyll fluorescence |
| CN108593611B (en) * | 2018-04-25 | 2020-10-02 | 南京大学 | Double-channel automatic observation method for chlorophyll fluorescence of vegetation |
| JP7225600B2 (en) * | 2018-08-10 | 2023-02-21 | ソニーグループ株式会社 | Information processing device, information processing method, program |
| CN109754120B (en) * | 2019-01-08 | 2019-12-17 | 中国农业科学院农业资源与农业区划研究所 | Drought early warning method considering fluorescence effect |
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