CN109492605A - A kind of high spectrum image detection method and device based on target optical spectrum - Google Patents
A kind of high spectrum image detection method and device based on target optical spectrum Download PDFInfo
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- CN109492605A CN109492605A CN201811417161.5A CN201811417161A CN109492605A CN 109492605 A CN109492605 A CN 109492605A CN 201811417161 A CN201811417161 A CN 201811417161A CN 109492605 A CN109492605 A CN 109492605A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/194—Terrestrial scenes using hyperspectral data, i.e. more or other wavelengths than RGB
Abstract
The present invention provides a kind of high spectrum image detection method and device based on target optical spectrum.Method comprises determining that high spectrum image P to be detected, target optical spectrum D and target sizes parameter K, high spectrum image P include that L row, S are arranged, and wave band number is B；Calculate the autocorrelation matrix R of high spectrum image P；According to the autocorrelation matrix R and target optical spectrum D of high spectrum image P, target sample projection matrix R is calculatedd；Calculate target sample projection matrix RdInverse matrix Rd ‑1；For any one pixel x in high spectrum image P(l,s), pixel x is calculated according to target sizes parameter K(l,s)Sample projection matrix Rx；Calculate pixel x(l,s)Sample projection matrix RxInverse matrix Rx ‑1；According to formulaCalculate pixel x(l,s)Matching detection result output (x).The present invention improves detection performance and effect.
Description
Technical field
The present invention relates to high-spectrum remote-sensing target acquisition technical field more particularly to a kind of EO-1 hyperions based on target optical spectrum
Image detection method and device.
Background technique
High-spectrum remote-sensing is imaged with nanoscale spectral resolution in ranges such as visible light, near-infrareds simultaneously, to atural object
Spectral information and space geometry distributed intelligence synchronize acquisition.Target acquisition (abbreviation high-spectrum based on high spectrum image
As target acquisition) technology be high-spectrum remote-sensing application one of important directions.
High spectrum image target acquisition technology is mainly to carry out according to target and atural object in the similarities and differences present on spectral signature
Detection identification, the spectral vector that each pixel is included cans be compared to " fingerprint " of Target scalar, to more easily discriminate small objects
And the essence of goal seeking.
Specifically, high spectrum image target acquisition technology is directly to be made using target optical spectrum to the pixel in high spectrum image
It matches one by one, matched mode is matched for example including spectrum intervals, spectrum angle and by the similitude after optical spectrum encoded
Deng.However, the essence of these matching ways is to make the matching of spectral waveform, and the matching process of spectral waveform is to high-spectrum
Picture noise is very sensitive, and due to being influenced by factors such as propagation in atmosphere, system noises, high spectrum image is difficult to reach in practical application
To the quality requirement of Spectral matching, Effect on Detecting is unsatisfactory.
Summary of the invention
In view of this, the present invention provides a kind of high spectrum image detection method and device based on target optical spectrum, for mentioning
High Effect on Detecting, technical solution are as follows:
Based on an aspect of of the present present invention, the present invention provides a kind of high spectrum image detection method based on target optical spectrum, packet
It includes:
High spectrum image P, target optical spectrum D and target sizes parameter K to be detected are determined, wherein the high spectrum image P
It is arranged comprising L row, S, and wave band number is B, target optical spectrum D={ d1, d2, d3.......dN, every spectrum d be B dimension column to
Amount, wherein L, S, B, N are positive integer；
According to formulaThe autocorrelation matrix R of the high spectrum image P is calculated, wherein xiIndicate the height
I-th of pixel in spectrum picture P, i are positive integer；
According to the autocorrelation matrix R and the target optical spectrum D of the high spectrum image P, formula R is utilizedd=R+DDTIt calculates
Target sample projection matrix Rd；
Calculate the target sample projection matrix RdInverse matrix Rd -1；
For any one pixel x in the high spectrum image P(l,s), which is calculated according to the target sizes parameter K
First x(l,s)Sample projection matrix Rx, wherein l, s are respectively the ranks number of vector x, and l, s are positive integer；
Calculate pixel x(l,s)Sample projection matrix RxInverse matrix Rx -1；
According to formulaCalculate pixel x(l,s)Matching detection result output (x).
Optionally, for any one pixel x in the high spectrum image P(l,s), according to the target sizes parameter K
Calculate pixel x(l,s)Sample projection matrix RxInclude:
Utilize formulaCalculate pixel x(l,s)Sample projection matrix Rx。
Optionally, the target optical spectrum D is surveyed or is extracted from library of spectra by ground and obtained.
Optionally, the method also includes:
According to the matching detection result of each pixel in the obtained high spectrum image P, matching detection result is met
The pixel of preset condition highlights.
Optionally, the method also includes:
When determining the target sizes parameter K, according to the space size of object to be measured, the target sizes parameter is adjusted
K。
Based on another aspect of the present invention, the present invention provides a kind of high spectrum image detection device based on target optical spectrum,
Include:
Determination unit, for determining high spectrum image P, target optical spectrum D and target sizes parameter K to be detected, wherein institute
Stating high spectrum image P includes L row, S column, and wave band number is B, target optical spectrum D={ d1, d2, d3.......dN, every spectrum d
It is a B dimensional vector, wherein L, S, B, N are positive integer；
First computing unit, for according to formulaCalculate the autocorrelation matrix of the high spectrum image P
R, wherein xiIndicate that i-th of pixel in the high spectrum image P, i are positive integer；
Second computing unit is utilized for the autocorrelation matrix R and the target optical spectrum D according to the high spectrum image P
Formula Rd=R+DDTCalculate target sample projection matrix Rd；
Third computing unit, for calculating the target sample projection matrix RdInverse matrix Rd -1；
4th computing unit, for for any one pixel x in the high spectrum image P(l,s), according to the target
Size parameter K calculates pixel x(l,s)Sample projection matrix Rx, wherein l, s are respectively the ranks number of vector x, and l, s are positive
Integer；
5th computing unit, for calculating pixel x(l,s)Sample projection matrix RxInverse matrix Rx -1；
6th computing unit, for according to formulaCalculate pixel x(l,s)Matching detect knot
Fruit output (x).
Optionally, the 4th computing unit is specifically used for, and utilizes formulaCalculate the picture
First x(l,s)Sample projection matrix Rx。
Optionally, the target optical spectrum D is surveyed or is extracted from library of spectra by ground and obtained.
Optionally, described device further include:
Unit is highlighted, it, will for the matching detection result according to each pixel in the obtained high spectrum image P
The pixel that matching detection result meets preset condition highlights.
Optionally, described device further include:
Adjustment unit adjusts the target sizes parameter K for the space size according to object to be measured.
In high spectrum image detection method and device provided by the invention based on target optical spectrum, L is included based on determining
Row, S column, wave band number are the high spectrum image P of B, and the target optical spectrum D comprising one or more spectrum and target determined is big
Small parameter K can be calculated automatically from the matching detection result of each pixel in high spectrum image P, the matching detection result table
The similarity degree of pixel and target optical spectrum is shown, so that the spatial distribution of target position can be obtained based on matching detection result.
Pixel in high spectrum image P is projected to the projector space comprising different samples by the present invention, is exported by comparing its energy, meter
The degree of correlation of pixel and target optical spectrum is calculated, not only method calculates easy, and effectively increases detection performance and effect.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, 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
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of the high spectrum image detection method based on target optical spectrum provided by the invention；
Fig. 2 is a kind of structural schematic diagram of the high spectrum image detection device based on target optical spectrum provided by the invention；
Fig. 3 is the structural schematic diagram of another high spectrum image detection device based on target optical spectrum provided by the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries 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 present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Before specifically introducing technical solution of the present invention, applicant first to the present invention relates to relevant parameter say
It is bright.
L:lines, row；
S:samples, column；
B:bands, wave band number；
Pixel: pixel；
Pixel x(l,s): indicate l row, the pixel of s column；
Pixel xi: indicate i-th of pixel；X in the present invention(l,s)And xiEssence it is identical, contribute to indicate some pixel,
It only difference is that expression way difference；
Target optical spectrum D={ d1, d2, d3.......dN, target optical spectrum D is made of the N target optical spectrum that length is B
Matrix, wherein every spectrum d is a B dimensional vector, N is positive integer；
Vector transposition: xTIndicate the transposition of vector x；
Matrix inversion: R-1The inverse matrix of representing matrix R.
Target sizes parameter K can according to target in the picture can covered range determine, according to different detection scenes
Artificial setting.Target sizes parameter K is nonnegative integer, and the present invention is defaulted as 1.
As shown in Figure 1, the high spectrum image detection method provided by the invention based on target optical spectrum may include:
Step 101, high spectrum image P, target optical spectrum D and target sizes parameter K to be detected, the high-spectrum are determined
Picture P includes L row, S column, and wave band number is B, target optical spectrum D={ d1, d2, d3.......dN, every spectrum d is a B dimension column
Vector, wherein L, S, B, N are positive integer.
In actual application of the present invention, the high spectrum image P to be detected determined can be user's determination and input
Image.For the high spectrum image P to be detected of the determination, it includes L row, S to arrange, and wave band number is B, i.e., the determination to
Total pixel number that the high spectrum image P of detection includes is L × S, any in the high spectrum image P to be detected of the determination
One pixel x(l,s)Be expressed as the pixel of l row, s column, in high spectrum image P each pixel be column that length is B to
Amount.
The size of target optical spectrum D and target sizes parameter K can by artificial pre-set, can also user input to
When the high spectrum image P of detection, target optical spectrum D and target sizes parameter K are inputted by user simultaneously.In the present invention, target optical spectrum D
Preferably it can survey or be extracted from library of spectra by ground and obtain.
It should be noted that the present invention is surveyed using ground or the spectrum that extracts from library of spectra is as target optical spectrum D,
The similarity of each pixel and target optical spectrum D in high spectrum image P can be accurately obtained, to judge target position.The party
Method calculates simplicity, effectively increases detection performance.
For target sizes parameter K: the present invention, can be according to the space of object to be measured when determining target sizes parameter K
Size adjusts the target sizes parameter K, to obtain better Effect on Detecting.
Target optical spectrum D={ d for target optical spectrum D, in the present invention1, d2, d3.......dN, wherein every spectrum d is
One B dimensional vector.Wherein target optical spectrum D can only include a spectrum d1, also may include a plurality of spectrum d1、d2……dN。
Step 102, according to formulaThe autocorrelation matrix R of the high spectrum image P is calculated, wherein xiTable
Show that i-th of pixel in the high spectrum image P, i are positive integer.
The present invention can use formula after determining high spectrum image P to be detectedHeight is calculated
The autocorrelation matrix R of spectrum picture P.
Step 103, according to the autocorrelation matrix R of the high spectrum image P and target optical spectrum D, formula R is utilizedd=R
+DDTCalculate target sample projection matrix Rd。
The present invention further utilizes formula R after the autocorrelation matrix R of high spectrum image P is calculatedd=R+DDT
Target sample projection matrix R is calculatedd。
Step 104, the target sample projection matrix R is calculateddInverse matrix Rd -1。
Step 105, for any one pixel x in the high spectrum image P(l,s), according to the target sizes parameter K
Calculate pixel x(l,s)Sample projection matrix Rx, wherein l, s are respectively the ranks number of vector x, and l, s are positive integer.
Specifically, the present invention can use formulaCalculate pixel x(l,s)Sample throw
Shadow matrix Rx。
Step 106, pixel x is calculated(l,s)Sample projection matrix RxInverse matrix Rx-1。
Step 107, according to formulaCalculate pixel x(l,s)Matching detection result output
(x)。
In the present invention, for each of high spectrum image P pixel x(l,s), the present invention will utilize formulaEach pixel x is successively calculated(l,s)Sample projection matrix Rx, and further calculate each
Pixel x(l,s)Sample projection matrix RxInverse matrix Rx -1, and it is final according to formulaIt calculates each
Pixel x(l,s)Matching detection result output (x).
Each pixel x in obtaining high spectrum image P(l,s)Matching detection result output (x) after, detection process
Terminate.
In high spectrum image detection method provided by the invention based on target optical spectrum, the width based on user's input includes
L row, S column, wave band number are the high spectrum image P of B, the target optical spectrum D comprising one or more spectrum determined, and foundation is estimated
The target sizes parameter K for counting target sizes setting can be calculated automatically from the matching detection of each pixel in high spectrum image P
As a result, the matching detection result illustrates the similarity degree of pixel and target optical spectrum, to can be obtained based on matching detection result
To the spatial distribution of target position.
Still optionally further, the present invention may be used also in obtaining high spectrum image P after the matching detection result of each pixel
With the matching detection result according to obtained each pixel, the pixel that matching detection result meets preset condition is highlighted.
It is, for example, to match detection result to be greater than preset threshold etc. that wherein matching detection result, which meets preset condition, is highlighted
Such as the region is highlighted with the color for being different from other regions.
During realization of the invention, space projection matrix (i.e. target sample projection matrix R that the present invention constructsd) with
Existing other methods are all different in principle and building mode, and the present invention is according to the picture in high spectrum image P to be detected
Member judges the similarity degree of pixel and target optical spectrum, the spy for small objects in the difference that two different spaces energy export
Surveying effect also can satisfy basic demand.
And the calculation amount of the high spectrum image detection method provided by the invention based on target optical spectrum is minimum, it can be fine
Ground overcomes at present that existing other target acquisition algorithms are computationally intensive, are difficult to the shortcomings that quickly handling, while provided by the invention
Detection method detection performance is better than traditional algorithm, has while detecting the ability of plurality of target, what to be detected in practical applications
The spectral vector of the target need to be only added in kind target in the target optical spectrum matrix of input, and the present invention only needs operator
High spectrum image to be detected is inputted, can be obtained and be satisfied with target acquisition grayscale image.
It is also possible to which appropriateness adjusts target sizes parameter K, Neng Goujie according to the space size of object to be measured
The geometrical property for closing target obtains better Effect on Detecting.
Based on a kind of high spectrum image detection method based on target optical spectrum provided by the invention above, the present invention also provides
A kind of high spectrum image detection device based on target optical spectrum, as shown in Fig. 2, device may include:
Determination unit 100, it is described for determining high spectrum image P to be detected, target optical spectrum D and target sizes parameter K
High spectrum image P includes L row, S column, and wave band number is B, target optical spectrum D={ d1, d2, d3.......dN, every spectrum d is
One B dimensional vector, wherein L, S, B, N are positive integer.
In actual application of the present invention, the high spectrum image P to be detected that determination unit 100 determines can be user
The piece image of input.For the high spectrum image P to be detected, it includes L row, S to arrange, and wave band number is B, i.e., this is to be detected
High spectrum image P total pixel number for including be L × S, any one pixel x in high spectrum image P(l,s)It is expressed as
The pixel of l row, s column, each pixel is the column vector that length is B in high spectrum image P.
The size of target optical spectrum D and target sizes parameter K can by artificial pre-set, can also user input to
While the high spectrum image P of detection, target optical spectrum D and target sizes parameter K is inputted by user.In the present invention, wherein target
Spectrum D preferably can be surveyed or be extracted from library of spectra by ground and obtained.
It should be noted that the present invention is surveyed using ground or the spectrum that extracts from library of spectra is as target optical spectrum D,
The similarity of each pixel and target optical spectrum D in high spectrum image P can be accurately obtained, to judge target position.The party
Method calculates simplicity, effectively increases detection performance.
Target optical spectrum D={ d for target optical spectrum D, in the present invention1, d2, d3.......dN, wherein every spectrum d is
One B dimensional vector.Wherein target optical spectrum D can only include a spectrum d1, also may include a plurality of spectrum d1、d2……dN。
First computing unit 200, for according to formulaCalculate the auto-correlation square of the high spectrum image P
Battle array R, wherein xiIndicate that i-th of pixel in the high spectrum image P, i are positive integer.
After determination unit 100 determines high spectrum image P to be detected in the present invention, the first computing unit 200 can
Utilize formulaThe autocorrelation matrix R of high spectrum image P is calculated.
Second computing unit 300, for the autocorrelation matrix R and the target optical spectrum D according to the high spectrum image P,
Utilize formula Rd=R+DDTCalculate target sample projection matrix Rd。
Third computing unit 400, for calculating the target sample projection matrix RdInverse matrix Rd -1。
4th computing unit 500, for for any one pixel x in the high spectrum image P(l,s).According to described
Target sizes parameter K calculates pixel x(l,s)Sample projection matrix Rx, wherein l, s are respectively the ranks number of vector x, and l, s are equal
For positive integer.
Specifically, the 4th computing unit 500 is used to utilize formula in the present inventionCalculating should
Pixel x(l,s)Sample projection matrix Rx。
5th computing unit 600, for calculating pixel x(l,s)Sample projection matrix RxInverse matrix Rx -1。
6th computing unit 700, for according to formulaCalculate pixel x(l,s)Matching visit
It surveys result output (x).
In the present invention, for each of high spectrum image P pixel x(l,s), it is single that the present invention successively passes through the 4th calculating
Member, the 5th computing unit and the 6th computing unit, i.e., first with formulaIt is successively calculated every
A pixel x(l,s)Sample projection matrix Rx, further calculate each pixel x(l,s)Sample projection matrix RxInverse matrix Rx -1, and it is final according to formulaCalculate each pixel x(l,s)Matching detection result output (x).
Each pixel x in obtaining high spectrum image P(l,s)Matching detection result output (x) after, detection process
Terminate.
In high spectrum image detection device provided by the invention based on target optical spectrum, the width based on user's input includes
L row, S column, wave band number are the high spectrum image P of B, the target optical spectrum D comprising one or more spectrum determined, and foundation is estimated
The target sizes parameter K for counting target sizes setting can be calculated automatically from the matching detection of each pixel in high spectrum image P
As a result, the matching detection result illustrates the similarity degree of pixel and target optical spectrum, to can be obtained based on matching detection result
To the spatial distribution of target position.
Preferably, as shown in figure 3, the high spectrum image detection device provided by the invention based on target optical spectrum can also wrap
It includes:
Unit 800 is highlighted, for the matching detection knot according to each pixel in the obtained high spectrum image P
Fruit highlights the pixel that matching detection result meets preset condition.
It is, for example, to match detection result to be greater than preset threshold etc. that wherein matching detection result, which meets preset condition, is highlighted
Such as the region is highlighted with the color for being different from other regions.
And adjustment unit 900 adjusts the target sizes parameter K for the space size according to object to be measured.
In practical application of the present invention, for target sizes parameter K, the present invention, can be with when determining target sizes parameter K
According to the space size of object to be measured, the target sizes parameter K is adjusted using adjustment unit 900, is preferably visited to obtain
Survey effect.
During realization of the invention, space projection matrix (i.e. target sample that the second computing unit 300 is calculated
Projection matrix Rd) be all different in principle and building mode with existing other methods, the present invention is according to bloom to be detected
Spectrogram judges the similarity degree of pixel and target optical spectrum as difference that the pixel in P is exported in two different spaces energy, right
It also can satisfy basic demand in the Effect on Detecting of small objects.
And the calculation amount of the high spectrum image detection method provided by the invention based on target optical spectrum is minimum, it can be fine
Ground overcomes at present that existing other target acquisition algorithms are computationally intensive, are difficult to the shortcomings that quickly handling, while provided by the invention
Detection method detection performance is better than traditional algorithm, has while detecting the ability of plurality of target, what to be detected in practical applications
The spectral vector of the target need to be only added in kind target in the target optical spectrum matrix of input, and the present invention only needs operator
High spectrum image to be detected is inputted, can be obtained and be satisfied with target acquisition grayscale image.
It is also possible to according to the space size of object to be measured, it is big by adjusting 900 appropriateness adjustment target of unit
Small parameter K, the geometrical property for capableing of combining target obtain better Effect on Detecting.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
For device class embodiment, since it is basically similar to the method embodiment, so being described relatively simple, related place ginseng
See the part explanation of embodiment of the method.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in the process, method, article or apparatus that includes the element.
A kind of high spectrum image detection method and device based on target optical spectrum provided by the present invention is carried out above
It is discussed in detail, specific examples are used herein to illustrate the principle and implementation manner of the present application, above embodiments
Illustrate to be merely used to help understand the present processes and its core concept；At the same time, for those skilled in the art, according to
According to the thought of the application, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification
It should not be construed as the limitation to the application.
Claims (10)
1. a kind of high spectrum image detection method based on target optical spectrum characterized by comprising
High spectrum image P, target optical spectrum D and target sizes parameter K to be detected are determined, wherein the high spectrum image P includes L
Row, S column, and wave band number is B, target optical spectrum D={ d1, d2, d3.......dN, every spectrum d is a B dimensional vector,
Middle L, S, B, N are positive integer；
According to formulaThe autocorrelation matrix R of the high spectrum image P is calculated, wherein xiIndicate the EO-1 hyperion
I-th of pixel in image P, i are positive integer；
According to the autocorrelation matrix R and the target optical spectrum D of the high spectrum image P, formula R is utilizedd=R+DDTCalculate target
Sample projection matrix Rd；
Calculate the target sample projection matrix RdInverse matrix Rd -1；
For any one pixel x in the high spectrum image P(l,s), which is calculated according to the target sizes parameter K
x(l,s)Sample projection matrix Rx, wherein l, s are respectively the ranks number of vector x, and l, s are positive integer；
Calculate pixel x(l,s)Sample projection matrix RxInverse matrix Rx -1；
According to formulaCalculate pixel x(l,s)Matching detection result output (x).
2. the method according to claim 1, wherein for any one pixel in the high spectrum image P
x(l,s), pixel x is calculated according to the target sizes parameter K(l,s)Sample projection matrix RxInclude:
Utilize formulaCalculate pixel x(l,s)Sample projection matrix Rx。
3. the method according to claim 1, wherein the target optical spectrum D is surveyed by ground or from library of spectra
Middle extraction obtains.
4. method according to claim 1-3, which is characterized in that the method also includes:
According to the matching detection result of each pixel in the obtained high spectrum image P, matching detection result is met default
The pixel of condition highlights.
5. method according to claim 1-3, which is characterized in that the method also includes:
When determining the target sizes parameter K, according to the space size of object to be measured, the target sizes parameter K is adjusted.
6. a kind of high spectrum image detection device based on target optical spectrum characterized by comprising
Determination unit, for determining high spectrum image P, target optical spectrum D and target sizes parameter K to be detected, wherein the height
Spectrum picture P includes L row, S column, and wave band number is B, target optical spectrum D={ d1, d2, d3.......dN, every spectrum d is one
A B dimensional vector, wherein L, S, B, N are positive integer；
First computing unit, for according to formulaThe autocorrelation matrix R of the high spectrum image P is calculated,
Middle xiIndicate that i-th of pixel in the high spectrum image P, i are positive integer；
Second computing unit utilizes formula for the autocorrelation matrix R and the target optical spectrum D according to the high spectrum image P
Rd=R+DDTCalculate target sample projection matrix Rd；
Third computing unit, for calculating the target sample projection matrix RdInverse matrix Rd -1；
4th computing unit, for for any one pixel x in the high spectrum image P(l,s), according to the target sizes
Parameter K calculates pixel x(l,s)Sample projection matrix Rx, wherein l, s are respectively the ranks number of vector x, and l, s are positive integer；
5th computing unit, for calculating pixel x(l,s)Sample projection matrix RxInverse matrix Rx -1；
6th computing unit, for according to formulaCalculate pixel x(l,s)Matching detection result
output(x)。
7. device according to claim 6, which is characterized in that the 4th computing unit is specifically used for, and utilizes formulaCalculate pixel x(l,s)Sample projection matrix Rx。
8. device according to claim 6, which is characterized in that the target optical spectrum D is surveyed by ground or from library of spectra
Middle extraction obtains.
9. according to the described in any item devices of claim 6-8, which is characterized in that described device further include:
Unit is highlighted, for the matching detection result according to each pixel in the obtained high spectrum image P, will be matched
The pixel that detection result meets preset condition highlights.
10. according to the described in any item devices of claim 6-8, which is characterized in that described device further include:
Adjustment unit adjusts the target sizes parameter K for the space size according to object to be measured.
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| CN110940638A (en) * | 2019-11-20 | 2020-03-31 | 北京科技大学 | Hyperspectral image sub-pixel level water body boundary detection method and detection system |
| CN112213750A (en) * | 2020-09-30 | 2021-01-12 | 珠海欧比特宇航科技股份有限公司 | Hyperspectral satellite film full-spectrum pixel-by-pixel imaging angle parameter processing method and medium |
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| CN110940638B (en) * | 2019-11-20 | 2020-11-06 | 北京科技大学 | Hyperspectral image sub-pixel level water body boundary detection method and detection system |
| CN112213750A (en) * | 2020-09-30 | 2021-01-12 | 珠海欧比特宇航科技股份有限公司 | Hyperspectral satellite film full-spectrum pixel-by-pixel imaging angle parameter processing method and medium |
| CN112213750B (en) * | 2020-09-30 | 2024-01-02 | 珠海欧比特卫星大数据有限公司 | Hyperspectral guard sheet full-spectrum pixel-by-pixel imaging angle parameter processing method and medium |
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