High spectral image processing method for extracting information of rhodochrosite

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 large data volume, long processing time, and manual operation steps, etc., achieve good effect and meaning, increase computing speed, and reduce interference Effect

Inactive Publication Date: 2016-07-20
BEIJING RES INST OF URANIUM GEOLOGY
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Problems solved by technology

[0002] The current rhodochrosite information extraction method of hyperspectral remote sensing images is mainly spectral matching of full band or partial continuous band spectral matching. These methods are easily affected by the spectrum or noise of other ground objects in the process of information extraction, and the accuracy of information extraction is relatively low.
Secondly, the existing spectrum extraction method has many manual steps, which increases the error of human judgment.
The third is that the hyperspectral data has many bands and a large amount of data. The existing methods take a long time to process, which reduces the speed of data processing and the scale of application.

Method used

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Embodiment Construction

[0015] The present invention comprises in turn:

[0016] The first step is to obtain hyperspectral images; preprocess hyperspectral images, perform atmospheric correction, and obtain image data of ground reflectance;

[0017] The second step is to resample the image data of ground reflectance, and extract images with wavelength bands at 1445nm, 1535nm, 1820nm, 1940nm, 2015nm, 2045nm, 2135nm, 2165nm, 2225nm, 2360nm, 2405nm;

[0018] In the third step, when the pixel value of the 1445m-band image is smaller than the corresponding pixel value of the 1535nm-band image, it is judged that the pixel satisfies the first condition; the result image H1 obtained by subtracting the 1445nm-band image from the 1535nm-band image;

[0019] In the fourth step, when the pixel value of the 1820nm band image is greater than the corresponding pixel value of the 1940nm band image, the pixel meets the second condition; obtain the result image H2 of subtracting the 1940nm band image from the 1820nm b...

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Abstract

The invention relates to a high spectral imaging processing method for extracting the information of rhodochrosite. According to the method, the wave bands with prominent spectral characteristics of rhodochrosite are saved; the images of wave bands (1445nm, 1535nm, 1820nm, 1940nm, 2015nm, 2045nm, 2135nm, 2165nm, 2225nm, 2360nm, and 2405nm) are extracted, and then a series of judgments and calculation are performed so as to calculate the abundance value of rhodochrosite in different areas of the image range. The provided method can remove the wave bands with unobvious characteristics, thus the spectral characteristics of rhodochrosite become more prominent during the process of information extraction, the influence of other objects or noise is reduced, the data needed to be processed is reduced, moreover, IDL program can be used to reduce artificial operation and extract the final result information, and the precision and speed of rhodochrosite information extraction are both improved.

Description

technical field [0001] The invention relates to a hyperspectral image processing method for rhodochrosite information extraction, in particular to a hyperspectral image processing method for rhodochrosite information extraction that reduces the influence of other ground features or noise and reduces the amount of processed data method. Background technique [0002] The current rhodochrosite information extraction method of hyperspectral remote sensing images is mainly spectral matching of full band or partial continuous band spectral matching. In the process of information extraction, these methods are easily affected by the spectrum or noise of other ground objects, and the accuracy of information extraction is relatively low. Secondly, the existing spectrum extraction method has many manual steps, which increases the error of human judgment. The third is that hyperspectral data has many bands and a large amount of data. The existing methods take a long time to process, w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/25
Inventor 杨燕杰黄树桃杨旭田丰伊丕源张东辉周觅朱黎江钱坤邱俊挺
Owner BEIJING RES INST OF URANIUM GEOLOGY
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