Extraction of Altered Mineral from Remote Sensing Data in Gold Exploration Based on the Nonlinear Analysis Technology

Researchers have found that the mixed pixels exist in complex geological conditions often lead to distortion of altered minerals' spectral curves, and the accuracy of altered mineral extract from remote sensing data was reduced. Fortunately, the nonlinear analysis is a feasible solution. In thi...

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Bibliographic Details
Published in2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS) pp. 1 - 8
Main Authors Haihui, Han, Yilin, Wang, Zhuan, Zhang, Guangli, Ren, Min, Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Aster
Belts
Exploration
Fractals
Gold
Mineralization
Mutability
Nonlinear Analysis
Remote sensing
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Summary:Researchers have found that the mixed pixels exist in complex geological conditions often lead to distortion of altered minerals' spectral curves, and the accuracy of altered mineral extract from remote sensing data was reduced. Fortunately, the nonlinear analysis is a feasible solution. In this paper, by analyzing the nonlinear characteristics of the geological anomalies, the Fractal Dimension Change Point Method (FDCPM) will be used to extract the altered minerals' threshold from multispectral image. The realization theory and access mechanism of the model are elaborated by an experiment with ASTER data in Xinjinchang and Laojinchang gold deposits. The results show that the findings produced by FDCPM are agreed with well with a mounting body of evidence from different perspectives. The extracting accuracy over 86% show that FDCPM is an effective extrating method for remote sensing alteration anomalies, and it could be used as an useful tool for mineral exploration in similar areas in Beishan mineralization belt in northwest China.
DOI:10.1109/PRRS.2018.8486248