Hyperspectral image processing method used for extracting calcite information

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...

AI Technical Summary

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 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 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.