Paper
15 September 2011 Research on the method of extracting alteration information and metallogenic prediction based on multi-information
Kefa Zhou, Qing Zhang, Nanning Zhang, Haibo Zhang
Author Affiliations +
Abstract
With the leaping of geological data, the demand to application of geological data is increasing and complex. How better to extract the excrescent information of geochemical anomalies and models of extracting altered information have been the important problem of geologists concerned. We analyzed the spectral characteristics of typical altered minerals, summarized the spectral response characteristics of typical altered minerals on ETM+. We contrasted three kinds of models of extracting altered information, they were enhancing model which was basis on spectrum characters, the threshold model which was basis on PCA and the SAM model which was basis on spectrum vectors, and we firstly built the MPS model on the base of analysis the method of eliminating familiar interference information. The research discovered the result of MPS model tallied with the location of the known gold spots, and avoided the obviously false abnormality information. And we made use of this model to extracting the altered information in whole study area.
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Kefa Zhou, Qing Zhang, Nanning Zhang, and Haibo Zhang "Research on the method of extracting alteration information and metallogenic prediction based on multi-information", Proc. SPIE 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 81560V (15 September 2011); https://doi.org/10.1117/12.898520
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KEYWORDS
Minerals

Copper

Data modeling

Remote sensing

Geology

Analytical research

Geographic information systems

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