Hyperspectral image processing method for extracting information of jarosite

Abstract

The invention relates to a hyperspectral image processing method for extracting the information of jarosite, wherein the wave band of jarosite, obvious in spectral features, is reserved. According to the method, the images of 980 nm, 1355 nm, 1415 nm, 1460 nm, 1550 nm, 1595 nm, 1790 nm, 2015 nm, 2075 nm, 2120 nm, 2225 nm, 2255 nm, 2330 nm and 2405 nm in wave band are extracted to be subjected to a series of judgment and calculation. Therefore, the abundance valves of jarosite in different areas can be calculated within the image range. Based on the above method, wave bands, which are not obvious in spectral features, are removed, so that the spectral features of jarosite can be emphasized during the information extraction process. The influence of other ground features or the noise can be relieved, and the to-be-processed data volume is reduced. Moreover, the information of a final result can be extracted based on the small amount of manual operation by utilizing the IDL program. As a result, the accuracy and the speed of the jarosite information extraction are improved.

Description

technical field [0001] The invention relates to a hyperspectral image processing method for jarosite information extraction, in particular to a method for extracting jarosite information that reduces the influence of other ground objects or noise and reduces the amount of processed data Hyperspectral image processing methods. Background technique [0002] The current jarosite information extraction method of hyperspectral remote sensing images is mainly spectral matching of full band or part of continuous band. Composed of a single mineral, these methods are susceptible to the influence of other surface object spectra or noise during the information extraction process, 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 hyperspectral data has many bands and a large amount of data. The existing methods take a long time to process, ...

AI Technical Summary

Problems solved by technology

[0002] The current jarosite information extraction method of hyperspectral remote sensing images is mainly spectral matching of full band or part of continuous band. Composed of a single mineral, these methods are easily affected by the spectrum or noise of other ground objects in the process of 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.