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A hyperspectral image processing method for kaolin information extraction

A technology of information extraction and image processing, which is applied in the field of hyperspectral image processing of kaolin information extraction, can solve the problems of large data volume, long processing time, and many manual steps, so as to improve accuracy and speed, and reduce ground objects or noise effect, the effect of reducing the amount of data

Active Publication Date: 2016-08-31
BEIJING RES INST OF URANIUM GEOLOGY
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Problems solved by technology

The current kaolin information extraction method of 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 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

[0028] The present invention will be further described below in conjunction with embodiment. A hyperspectral image processing method for information extraction of kaolin, comprising

[0029] Step 1: Band Sampling

[0030] Sampling the existing hyperspectral image data of ground reflectance, extracting wavebands at 1280nm, 1310nm, 1340nm, 1415nm, 1430nm, 1820nm, 1940nm, 2105nm, 2165nm, 2180nm, 2210nm, 2225nm, 2270nm, 2315nm, 2345nm, 2375nm The images are recorded as b1~b16 in sequence, that is, b1 is the sampling data of the 1280nm band, b2 is the sampling data of the 1310nm band, and so on. Each sampling is a grayscale image, and the value of each pixel in the image is its grayscale value, that is, b1 is a grayscale image, and the value of point (1,1) of the b1 image is gray degree value, and so on for the rest of the points, and so on for the rest of the sampling maps.

[0031] Step 2: Judgment

[0032] Press to make the following series of judgments and record the result...

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Abstract

The invention belongs to an information extraction method, and particularly relates to a hyperspecrtal image treatment method for extracting kaolin information. The method comprises the following steps: 1, waveband sampling; 2, judging; 3, computing, namely computing abundance according to the judgment result in the step 2. According to the hyperspecrtal image treatment method, the abundance values of kaolin in different areas within the image range can be accurately calculated by hyperspecrtal image re-sampling, specific waveband extraction, and a series of judgments and computations.

Description

technical field [0001] The invention belongs to an information extraction method, in particular to a hyperspectral image processing method for kaolin information extraction. Background technique [0002] Extracting the abundance of different types of minerals in the image area by processing image information is a commonly used method in the field of exploration. This method does not require staff to go directly to the field for exploration and sampling, and can extract the abundance of different types of minerals. The current kaolin information extraction method of 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 However, these methods are easily affected by the spectrum or noise of other ground objects in the process of information ext...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/25
Inventor 杨燕杰
Owner BEIJING RES INST OF URANIUM GEOLOGY
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