Layered lineage identification method for high spectrum mineral

Abstract

This invention establishes a mineral identification layer spectrum system which is mineral macro-taxonomy to mineral kind to detail mineral to mineral variation, according to the different grade of characteristic light spectrum parameters in the mineral mixed light spectrum. It concludes and valuates some common light spectrum parameters stability and the relative weigh in the mineral identification and establishes the light spectrum identification method and identification database of the more than twenty kinds of etching minerals. This invention integrates the mineral light spectrum knowledge of professional person into the identification of the mineral based on effectively solving the light spectrum change or variation and makes the general operation person can identify the minerals and realizes the intelligence, batch process and the scale utility of mineral area charting of high light spectrum remote sensor mineral identification.

Description

technical field [0001] The invention relates to a method for identifying a mineral layered lineage, in particular to a method for identifying a hyperspectral mineral layered lineage. Background technique [0002] Hyperspectral has the characteristic of map-spectrum integration, and its advantage compared with multi-spectrum is that it can use spectral features to realize direct identification of ground objects or components of ground objects. Mineral identification and mineral mapping are the most successful application fields of hyperspectral technology and the best use of its advantages. At present, the technical methods of hyperspectral remote sensing ground object spectral identification mainly include the following aspects: (1) after enhancing the single diagnostic absorption characteristics of endmember minerals, such as waveform and symmetry, to identify rock ore types; (2) based on Spectral matching recognition of spectral features; (3) Mixed spectral decomposition ...

AI Technical Summary

Problems solved by technology

However, the obvious disadvantage is that due to the variation of the spectrum of the actual ground objects, the acquired data is affected by the observation angle and the particle size, the spectral change or variation is difficult to accurately match, and it is difficult to determine the endmembers of the mixed spectrum decomposition, resulting in the identification and analysis of rocks and mines. confusion and error

On the other hand, in actual operation, scientific and technical personnel or staff are required to have a background in mineralogy and spectroscopy, which limits the engineering application of hyperspectral geosciences and is difficult to meet the needs of large-scale regional mineral mapping in hyperspectral remote sensing.

Images