Hyperspectral image processing method used for extracting calcite information

A technology of information extraction and image processing, which is applied in the direction of color/spectral characteristic measurement, etc., can solve the problems of long processing time, large amount of data, and many steps of manual operation, and achieve the effect of increasing computing speed, reducing data amount, and reducing interference

Active Publication Date: 2014-07-02
BEIJING RES INST OF URANIUM GEOLOGY
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Problems solved by technology

[0002] The current calcite information extraction method for hyperspectral remote sensing images is mainly spectral matching of full band or partial continuous band spectral matching. The specific algorithm includes spectral angle, mixed demodulation filter, etc., because the material composition of the surface is rarely composed of a single mineral Yes, these methods are easily affected by the spectrum or noise of other ground obj

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Embodiment Construction

[0016] The invention calculates the abundance values ​​of calcite in different regions within the image range by resampling hyperspectral images, extracting specific bands, and performing a series of judgments and calculations.

[0017] Specifically include the following steps:

[0018] The first step is to obtain hyperspectral images; preprocess hyperspectral images, perform atmospheric correction, and obtain image data of ground reflectance;

[0019] The second step is to resample the image data of ground reflectance, and extract images with wavelength bands at 1760nm, 1775nm, 1940nm, 2000nm, 2030nm, 2105nm, 2150nm, 2165nm, 2180nm, 2195nm, 2330nm, 2345nm, 2390nm;

[0020] In the third step, when the pixel value of the 1760nm band image is smaller than the corresponding pixel value of the 1775nm band image, it is judged that the pixel satisfies the first condition; obtain the result image H1 of subtracting the 1760nm band image from the 1775nm band image;

[0021] In the fou...

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Abstract

The invention relates to a hyperspectral image processing method used for extracting calcite information. The method includes preserving the wavebands having significant spectral signatures of calcite, extracting images the wavebands of which are at 1760 nm, 1775nm, 1940 nm, 2000 nm, 2030 nm, 2105 nm, 2150 nm, 2165 nm, 2180 nm, 2195 nm, 2330 nm, 2345 nm and 2390 nm, performing a series of determination and calculation, and calculating abundance values of the calcite in different zones in the image scope. The method can remove the wavebands without significant signatures, thus highlighting the spectral signatures of the calcite in an information extraction process, reducing influences of other ground features or noises, and reducing the amount of data to be processed. Through an IDL program, the method can achieve an objective of information extraction of final results by less manual operation, thus increasing the precision and the speed of calcite information extraction.

Description

technical field [0001] The invention relates to a hyperspectral image processing method for calcite information extraction, in particular to a hyperspectral image processing method for calcite information extraction that reduces the influence of other ground objects or noise, manual operation steps and processing data volume . Background technique [0002] The current calcite information extraction method for hyperspectral remote sensing images is mainly spectral matching of full band or partial continuous band spectral matching. The specific algorithm includes spectral angle, mixed demodulation filter, etc., because the material composition of the surface is rarely composed of a single mineral Yes, these methods are easily affected by the spectrum or noise of other ground objects in the process of calcite information extraction, and the accuracy of extracted information is relatively low. Secondly, the existing spectrum extraction method has many manual steps, which increa...

Claims

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Application Information

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IPC IPC(8): G01N21/25
Inventor 杨燕杰赵英俊
Owner BEIJING RES INST OF URANIUM GEOLOGY
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