High spectrum multiple end element linear fitting mineral identification and mineralizing indication method

Abstract

This invention provides a highlight spectrum multiple-end linear fitted mineral identification and mineralization indicate method which is based on mineral theory and wall rock alteration characteristics and chooses the alteration mineral indicating different kinds of mineral to form multiple-end compound. The selected multiple-end mineral group is linear fitted and any picture element correlation coefficient is made to be the maximum of the fitted mineral. In the highlight spectrum picture process, it uses matrix calculation to do multiple linear regressions fit and the fit parameter vector A serves as distribution weigh in the compound of the different ends. The weigh serves as the probability existed in the end and at same time denotes the relative abundance of the distribution end. It uses different end content as mineral model parameters and makes color graph and displays mineral distribution and identifies the mineral according to the larger weigh value.

Description

Technical field [0001] The invention relates to a method for mineral identification and mineralization indication, in particular to a method for mineral identification and mineralization indication using linear fitting of hyperspectral multi-terminal elements composed of spectral mixing. Background technique [0002] The existence of minerals in nature and the symbiosis with other minerals have certain laws. The symbiotic combination of minerals is governed by the nature of the chemical elements that make up the minerals and the physical and chemical conditions of the geological processes that form the minerals. In different geological processes, the occurrence and distribution of mineral symbiosis combinations are different, such as magmatism mineral symbiosis combinations and weathering mineral symbiosis. In the same geological process, the mineral symbiosis combination of high temperature, medium temperature and low temperature is formed due to the change of temperature. The m...

AI Technical Summary

Problems solved by technology

However, in practical applications, the ground end members are unknown, which affects the accuracy of mineral identification, and is also not conducive to the analysis of mineral assemblage and paragenesis relationship and metallogenic prediction.

[0004] In short, the original technical methods such as hybrid spectral model decomposition focus on the identification of minerals, because it is difficult to have prior knowledge of the endmembers of the hybrid decomposition, the identification accuracy is not high; on the other hand, it is not well combined with geological applications, It is difficult to realize the identification of mineralization, the delineation of metallogenic prospects and the optimization of target areas

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