Abstract
Using ASTER image as data source, the data were preprocessed based on RS software, for different types of erosion and alteration minerals. Using the main principal component analysis (PCA) and band ratio together for alteration information extraction and comparing the extraction results with the known ore occurrences. The results show that: the method combining principal component analysis and band ratio together in extracting mineralized alteration has certain feasibility, the test of alteration information extraction in Qinghai Lalingzaohuo region confirms that the extract information with the known ore occurrences are in good agreement, which has certain reliability.
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This work was financially supported by the Program of China Geological Survey (No. 1212010510613).
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Lin, N., Wu, M., Li, W. (2017). Extraction Method of Remote Sensing Alteration Anomaly Information Based on Principal Component Analysis. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-10-3966-9_39
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DOI: https://doi.org/10.1007/978-981-10-3966-9_39
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