CN104990880A - Sericite mineral relative abundance calculating method based on aviation hyperspectral remote sensing data - Google Patents

Sericite mineral relative abundance calculating method based on aviation hyperspectral remote sensing data Download PDF

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CN104990880A
CN104990880A CN201510399242.7A CN201510399242A CN104990880A CN 104990880 A CN104990880 A CN 104990880A CN 201510399242 A CN201510399242 A CN 201510399242A CN 104990880 A CN104990880 A CN 104990880A
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wave band
sericite
relative abundance
absorption position
sericite mineral
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CN104990880B (en
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孙雨
赵英俊
秦凯
田丰
周家晶
刘鹏飞
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Beijing Research Institute of Uranium Geology
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Beijing Research Institute of Uranium Geology
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Abstract

The invention belongs to the technical field of remote sensing geology survey, and particularly relates to a sericite mineral relative abundance calculating method based on aviation hyperspectral remote sensing data. The method comprises the following steps that data preprocessing is carried out on the aviation hyperspectral remote sensing data; the spectral absorption position of a sericite mineral image is calculated; a mis-extraction area is removed; the absorption depth corresponding to the spectral absorption position of the sericite mineral image is calculated; a sericite mineral relative abundance graph is manufactured. By means of the method, the absorption position of the sericite mineral, the absorption depth and the relative abundance can be accurately calculated.

Description

Based on the sericite mineral relative abundance computing method of Airborne Hyperspectral remotely-sensed data
Technical field
The invention belongs to Remote Sensing Geological Investigation technical field, be specifically related to a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data.
Background technology
High spectrum resolution remote sensing technique is the cutting edge technology of remote sensing fields, can obtain the continuous and complete spectrum of atural object, directly carry out Objects recognition according to curve of spectrum feature.In remote-sensing geology application, adopt high spectrum resolution remote sensing technique can on the basis distinguishing mineral large classes Direct Recognition Within Monominerals.
The Airborne Hyperspectral remote-sensing mineral of prior art extracts the identification that active side overweights mineral species, many employing visual identification methods in the detailed division of dissimilar sericite mineral, be difficult to quantitatively calculate absorption position, and then be difficult to the content of mineral on earth's surface, i.e. relative abundance, accurately calculates.
Summary of the invention
The technical issues that need to address of the present invention are: prior art is difficult to accurately calculate mineral absorption position, relative abundance.
Technical scheme of the present invention is as described below:
Based on sericite mineral relative abundance computing method for Airborne Hyperspectral remotely-sensed data, comprise the following steps: step 1 pair Airborne Hyperspectral remotely-sensed data carries out data prediction; Step 2 calculates sericite mineral image spectral absorption position; Step 3 is removed and is extracted region by mistake; Step 4 calculates the absorption degree of depth corresponding to sericite mineral image spectral absorption position; Step 5 makes sericite mineral relative abundance figure.
Preferably:
In step 1, systems radiate correction and geometry correction are carried out to the Airborne Hyperspectral remotely-sensed data obtained, obtains the spectral radiance data with geographic coordinate; Spectral radiance data, through atmospheric correction and rebuilding spectrum, obtain hyper spectral reflectance data.
Preferably:
In step 2, application hyper spectral reflectance data, according to sericite mica ore thing spectrum characteristic selection high-spectral data characteristic wave bands, cut by the fitting a straight line of computational reflect rate minimum both sides and hand over position, obtain the reflectivity of the sericite mineral position of image spectral absorption accurately and correspondence thereof;
The fitting a straight line of described reflectivity minimum both sides is cut and is handed over the computing method of position as described below:
According to sericite mica ore object light spectrum signature, the wave band b that preliminary selected image spectral absorption position may be in n; Wavelength is selected to be less than wave band b n, and with wave band b nthe most adjacent wave band b n-1with secondary adjacent wave band b n-2, select wavelength to be greater than wave band b n, and and b nthe wave band b that wave band is the most adjacent n+1with secondary adjacent wave band b n+2, adopt following formula to calculate the reflectivity Bx of image spectral absorption position bx and correspondence thereof:
( B n - 2 - B n - 1 ) / ( B n - 2 - B x ) = ( b n - 1 - b n - 2 ) / ( b x - b n - 2 ) ( B n + 2 - B n + 1 ) / ( B n + 2 - B x ) = ( b n + 2 - b n + 1 ) / ( b n + 2 - b x )
In formula,
B n-2, b n-1, b n+1, b n+2be followed successively by wave band b n-2, wave band b n-1, wave band b n+1, wave band b n+2corresponding wavelength;
B n-2, B n-1, B n+1, B n+2be followed successively by wave band b n-2, wave band b n-1, wave band b n+1, wave band b n+2corresponding reflectivity.
Preferably:
In step 3, for the image spectral absorption position bx that step 2 calculates, if bx numerical value had both been greater than wave band b n-1corresponding wavelength b n-1be less than again wave band b n+1corresponding wavelength b n+1, then show that the absorption position bx that step 2 calculates is reasonable value, proceed step 4; Otherwise the absorption position bx that step 2 calculates being rejected as extracting region by mistake, returning the step 2 selected image spectral absorption position wave band that may be in again after rejecting, recalculating sericite mineral image spectral absorption position.
Preferably:
In step 4, according to sericite mica ore object light spectral curve configuration, set left point of shoulder and right point of shoulder, adopt following formula to calculate the absorption degree of depth corresponding to image spectral absorption position:
H = b L - b x b L - b R B R + ( 1 - b L - b x b L - b R ) B L - B x
In formula,
H is the absorption degree of depth corresponding to image spectral absorption position;
B l, b rbe followed successively by left point of shoulder, wavelength that right point of shoulder is corresponding;
B l, B rbe followed successively by left point of shoulder, reflectivity that right point of shoulder is corresponding.
Preferably:
In step 5, the absorption depth H corresponding according to image spectral absorption position, carries out Threshold segmentation, adopts the color of the different depth to represent relative abundance height, makes sericite mineral relative abundance figure.
Beneficial effect of the present invention is:
(1) a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data of the present invention, the hyper spectral reflectance data that reflectivity values scope is 0 ~ 1 are obtained, for sericite Minerals identification provides remotely-sensed data by the pre-service of Airborne Hyperspectral remotely-sensed data;
(2) a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data of the present invention, Airborne Hyperspectral Remote Sensing Reflectance data decimation characteristic wave bands carries out equations simultaneousness, calculate sericite mineral and absorb position accurately, improve the accuracy absorbing depth calculation;
(3) a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data of the present invention, Airborne Hyperspectral reflectivity data band math obtains the absorption degree of depth, for the accurate calculating of sericite abundance provides foundation.
Accompanying drawing explanation
Fig. 1 is sericite mineral image spectral absorption position view;
Fig. 2 accurately absorbs position view after the matching of sericite mineral spectra;
Fig. 3 is sericite mineral absorption depth calculation schematic diagram.
Embodiment
Below in conjunction with drawings and Examples, a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data of the present invention are described in detail.
A kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data of the present invention, comprise the following steps:
Step 1 pair Airborne Hyperspectral remotely-sensed data carries out data prediction
Systems radiate correction and geometry correction are carried out to the Airborne Hyperspectral remotely-sensed data obtained, obtains the spectral radiance data with geographic coordinate.Spectral radiance data, through atmospheric correction and rebuilding spectrum, obtain the hyper spectral reflectance data of reflectivity values in 0 ~ 1 scope.
Described systems radiate correction, geometry correction, atmospheric correction and rebuilding spectrum are known to the skilled person general knowledge.
Step 2 calculates sericite mineral image spectral absorption position
Application hyper spectral reflectance data, according to sericite mica ore thing spectrum characteristic selection high-spectral data characteristic wave bands, cut by the fitting a straight line of computational reflect rate minimum both sides and hand over position, obtain the reflectivity of the sericite mineral position of image spectral absorption accurately and correspondence thereof.
The fitting a straight line of described reflectivity minimum both sides is cut and is handed over the computing method of position as described below:
According to sericite mica ore object light spectrum signature, the wave band b that preliminary selected image spectral absorption position may be in n; Wavelength is selected to be less than wave band b n, and with wave band b nthe most adjacent wave band b n-1with secondary adjacent wave band b n-2, select wavelength to be greater than wave band b n, and with wave band b nthe most adjacent wave band b n+1with secondary adjacent wave band b n+2, adopt following formula to calculate the reflectivity Bx of image spectral absorption position bx and correspondence thereof:
( B n - 2 - B n - 1 ) / ( B n - 2 - B x ) = ( b n - 1 - b n - 2 ) / ( b x - b n - 2 ) ( B n + 2 - B n + 1 ) / ( B n + 2 - B x ) = ( b n + 2 - b n + 1 ) / ( b n + 2 - b x )
In formula,
B n-2, b n-1, b n+1, b n+2be followed successively by wave band b n-2, wave band b n-1, wave band b n+1, wave band b n+2corresponding wavelength;
B n-2, B n-1, B n+1, B n+2be followed successively by wave band b n-2, wave band b n-1, wave band b n+1, wave band b n+2corresponding reflectivity.
In the present embodiment, according to sericite mica ore object light spectrum signature, select high-spectral data characteristic wave bands shown in following table.
Sequence number Wave band Wave band corresponding wavelength Reflectivity
1 b1 2165nm B1
2 b2 2180nm B2
3 b3 2195nm B3
4 b4 2210nm B4
5 b5 2225nm B5
6 b6 2240nm B6
7 b7 2255nm B7
According to sericite standard mineral spectrum, its image spectrum curve may be arranged in of these three positions of 2195nm, 2210nm and 2225nm in 2165nm ~ 2255nm scope internal reflection rate minimum value.For these three kinds possibilities, carry out following calculating sericite mineral spectral absorption position bx accurately respectively, and the reflectivity Bx of correspondence:
(1) situation of 2195nm is positioned at for image spectrum reflectance minimum
Select b1, b2 wave band adjacent forward with the b3 wave band residing for 2195nm, and b4, b5 wave band adjacent backward, adopt following formula to calculate the reflectivity Bx of spectral absorption position bx and correspondence thereof:
( B 1 - B 2 ) / ( B 1 - B x ) = ( b 2 - b 1 ) / ( b x - b 1 ) ( B 5 - B 4 ) / ( B 5 - B x ) = ( b 5 - b 4 ) / ( b 5 - b x )
Obtain: b x = 2165 * ( B 1 - B 2 ) - 2225 * ( B 4 - B 5 ) + 15 * ( B 1 - B 5 ) B 1 - B 2 - B 4 + B 5
(2) situation of 2210nm is positioned at for image spectrum reflectance minimum
Select b2, b3 wave band adjacent forward with the b4 wave band residing for 2210nm, and b5, b6 wave band adjacent backward, adopt following formula to calculate the reflectivity Bx of spectral absorption position bx and correspondence thereof:
( B 2 - B 3 ) / ( B 2 - B x ) = ( b 3 - b 2 ) / ( b x - b 2 ) ( B 6 - B 5 ) / ( B 6 - B x ) = ( b 6 - b 5 ) / ( b 6 - b x )
Obtain: b x = 2180 * ( B 2 - B 3 ) - 2240 * ( B 5 - B 6 ) + 15 * ( B 2 - B 6 ) B 2 - B 3 - B 5 + B 6
(3) situation of 2225nm is positioned at for image spectrum reflectance minimum
Select b3, b4 wave band adjacent forward with the b5 wave band residing for 2225nm, and b6, b7 wave band adjacent backward, adopt following formula to calculate the reflectivity Bx of spectral absorption position bx and correspondence thereof:
( B 3 - B 4 ) / ( B 3 - B x ) = ( b 4 - b 3 ) / ( b x - b 3 ) ( B 7 - B 6 ) / ( B 7 - B x ) = ( b 7 - b 6 ) / ( b 7 - b x )
Obtain: b x = 2195 * ( B 3 - B 4 ) - 2255 * ( B 6 - B 7 ) + 15 * ( B 3 - B 7 ) B 3 - B 4 - B 6 + B 7
Step 3 is removed and is extracted region by mistake
Adopt band math, ensure that the sericite calculated accurately absorbs position and drops in corresponding wave band interval range, remove the region of by mistake extracting.
Specifically, for the absorption position bx that step 2 calculates, if bx numerical value had both been greater than wave band b n-1corresponding wavelength b n-1be less than again wave band b n+1corresponding wavelength b n+1, then show that the absorption position bx that step 2 calculates is reasonable value, proceed step 4; Otherwise the absorption position bx that step 2 calculates being rejected as extracting region by mistake, returning the step 2 selected image spectral absorption position wave band that may be in again after rejecting, recalculating sericite mineral image spectral absorption position.
Step 4 calculates the absorption degree of depth corresponding to sericite mineral image spectral absorption position
According to sericite mica ore object light spectral curve configuration, set left point of shoulder and right point of shoulder, left point of shoulder and wavelength corresponding to right point of shoulder are respectively b land b r, left point of shoulder and reflectivity corresponding to right point of shoulder are respectively B land B r, adopt following formula to calculate the absorption degree of depth corresponding to image spectral absorption position:
H = b L - b x b L - b R B R + ( 1 - b L - b x b L - b R ) B L - B x
In formula,
H is the absorption degree of depth corresponding to image spectral absorption position.
In the present embodiment, left point of shoulder and wavelength corresponding to right point of shoulder are chosen according to data processing experience.Because the wave band of Airborne Hyperspectral data is spaced apart 15nm, the reflection shoulder of absorption peak both sides is often positioned at 2135nm and 2285nm place, experience shows, no matter absorbs position and is positioned at 2195nm, 2210nm or 2225nm, selects these two shoulder wavelength can measure sericite well and absorbs the degree of depth.Therefore, in the present embodiment, left point of shoulder and wavelength corresponding to right point of shoulder are respectively 2135nm and 2285nm.
Step 5 makes sericite mineral relative abundance figure
The absorption depth H corresponding according to image spectral absorption position, carries out Threshold segmentation, adopts the color of the different depth to represent relative abundance height, makes sericite mineral relative abundance figure, for geological analysis provides remote sensing criterion.
Described Threshold segmentation is known to the skilled person general knowledge.

Claims (6)

1., based on sericite mineral relative abundance computing method for Airborne Hyperspectral remotely-sensed data, it is characterized in that: comprise the following steps:
Step 1 pair Airborne Hyperspectral remotely-sensed data carries out data prediction;
Step 2 calculates sericite mineral image spectral absorption position;
Step 3 is removed and is extracted region by mistake;
Step 4 calculates the absorption degree of depth corresponding to sericite mineral image spectral absorption position;
Step 5 makes sericite mineral relative abundance figure.
2. a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data according to claim 1, is characterized in that:
In step 1, systems radiate correction and geometry correction are carried out to the Airborne Hyperspectral remotely-sensed data obtained, obtains the spectral radiance data with geographic coordinate; Spectral radiance data, through atmospheric correction and rebuilding spectrum, obtain hyper spectral reflectance data.
3. a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data according to claim 2, is characterized in that:
In step 2, application hyper spectral reflectance data, according to sericite mica ore thing spectrum characteristic selection high-spectral data characteristic wave bands, cut by the fitting a straight line of computational reflect rate minimum both sides and hand over position, obtain the reflectivity of the sericite mineral position of image spectral absorption accurately and correspondence thereof;
The fitting a straight line of described reflectivity minimum both sides is cut and is handed over the computing method of position as described below:
According to sericite mica ore object light spectrum signature, the wave band b that preliminary selected image spectral absorption position may be in n; Wavelength is selected to be less than wave band b n, and with wave band b nthe most adjacent wave band b n-1with secondary adjacent wave band b n-2, select wavelength to be greater than wave band b n, and and b nthe wave band b that wave band is the most adjacent n+1with secondary adjacent wave band b n+2, adopt following formula to calculate the reflectivity Bx of image spectral absorption position bx and correspondence thereof:
( B n - 2 - B n - 1 ) / ( B n - 2 - B x ) = ( b n - 1 - b n - 2 ) / ( b x - b n - 2 ) ( B n + 2 - B n + 1 ) / ( B n + 2 - B x ) = ( b n + 2 - b n + 1 ) / ( b n + 2 - b x )
In formula,
B n-2, b n-1, b n+1, b n+2be followed successively by wave band b n-2, wave band b n-1, wave band b n+1, wave band b n+2corresponding wavelength;
B n-2, B n-1, B n+1, B n+2be followed successively by wave band b n-2, wave band b n-1, wave band b n+1, wave band b n+2corresponding reflectivity.
4. a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data according to claim 3, is characterized in that:
In step 3, for the image spectral absorption position bx that step 2 calculates, if bx numerical value had both been greater than wave band b n-1corresponding wavelength b n-1be less than again wave band b n+1corresponding wavelength b n+1, then show that the absorption position bx that step 2 calculates is reasonable value, proceed step 4; Otherwise the absorption position bx that step 2 calculates being rejected as extracting region by mistake, returning the step 2 selected image spectral absorption position wave band that may be in again after rejecting, recalculating sericite mineral image spectral absorption position.
5. a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data according to claim 4, is characterized in that:
In step 4, according to sericite mica ore object light spectral curve configuration, set left point of shoulder and right point of shoulder, adopt following formula to calculate the absorption degree of depth corresponding to image spectral absorption position:
H = b L - b x b L - b R B R + ( 1 - b L - b x b L - b R ) B L - B x
In formula,
H is the absorption degree of depth corresponding to image spectral absorption position;
B l, b rbe followed successively by left point of shoulder, wavelength that right point of shoulder is corresponding;
B l, B rbe followed successively by left point of shoulder, reflectivity that right point of shoulder is corresponding.
6. a kind of sericite mineral relative abundance computing method based on Airborne Hyperspectral remotely-sensed data according to claim 5, is characterized in that:
In step 5, the absorption depth H corresponding according to image spectral absorption position, carries out Threshold segmentation, adopts the color of the different depth to represent relative abundance height, makes sericite mineral relative abundance figure.
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