Paper
8 October 2015 Development and application of the alteration mineral information extraction system based on ASTER data
Wei Wang, Wei Zhou, Rihong Yang, Tao Yuan
Author Affiliations +
Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96750P (2015) https://doi.org/10.1117/12.2197835
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
In recent years, multi-spectral data have been widely used to prospect the source rock or source region of porphyry copper deposits. In this paper, we present a system to extract the information of alteration mineral from multi-spectral data. The system is developed with the Visual C# 2010 and IDL8.0 platform, and is able to process the ASTER multi-spectral data which is a new multiband file after layer stacking. Based on the principal component analysis, the ASTER data is processed automatically in this system. The result shows two components, the classified information of argillic- and phyllic-altered mineral assemblage and propylitization mineral assemblage. Compared with the traditional processes, the system not only lowers the threshold of the application of remote sensing technology, but also improves the work efficiency significantly.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Wang, Wei Zhou, Rihong Yang, and Tao Yuan "Development and application of the alteration mineral information extraction system based on ASTER data", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96750P (8 October 2015); https://doi.org/10.1117/12.2197835
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KEYWORDS
Minerals

Remote sensing

Principal component analysis

Image processing

Copper

Data modeling

Image analysis

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