Alteration from ETM+ Data Rating Based on Fractal Technologies

Abstract:

Fractal is an important method to improve effect about geochemistry and geophysics, but currently fractal theory is rarely used in the field of remote sensing. In this paper, the multi-metal mining area in Lushi,Henan,China, is selected as the studying area , and the ETM + is the data source. Using the method of MPH (Masking, Principle component analysis（PCA）, Hue and saturation transform (HIS) (MPH)) extracts alteration information from the studying area. The method includes three aspects: (1) mask, (2) PCA, (3) HIS transform. Next , adopting the method of summation in the fractal theory：the pixel brightness—area model make a quantitative analysis about the extracted iron alteration form MPH. And then compare the result with the common methods of threshold selection by standard deviation (SD). It is proved in this paper that the alteration information as a geologic record of spatial distribution has not only fractal characteristics but also multi-fractal characteristics. The research results show that fractal technique is an effective method to classify alteration information of remote sensing data, and it makes up for the weakness of threshold methods and achieves better results.

• Periodical: Advanced Materials Research (Volumes 457-458)
• Pages: 1202-1206
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.457-458.1202
• Online since: January 2012
• Authors: Yu Qi Liang, Shou Ting Zhang, Gong Wen Wang
• Keywords: Altered, Fractal, MPH, Remote Sensing, Threshold

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