High spectral image processing method for extracting information of rhodochrosite

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...

AI Technical Summary

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.