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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (1) : 43-49     DOI: 10.6046/gtzyyg.2017.01.07
Technology and Methodology |
Nonlinear analysis method for remote sensing alteration anomalies: A case study of Xinjinchang and Laojinchang in Beishan
HAN Haihui1,2, WANG Yilin1, REN Guangli1, YANG Junlu1, LI Jianqiang1, YANG Min1
1. Xi'an Center of China Geological Survey, Xi'an 710054, China;
2. Institute of Geological Engineering and Surveying, Chang'an University, Xi'an 710054, China
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Abstract  

The purpose of this study is to explore a new effective method to conduct quantified calculation of the lower threshold. Based on ASTER image, the authors used the fractal model and the change-point analysis model in study areas named Xinjinchang and Laojinchang. The experimental results show that the model could quickly calculate the lower threshold for the alteration anomaly with fractal characteristics, and the model verification results also show that the threshold values are accurate and effective. In addition, field geological survey also indicates that the alteration anomalies delineated by the authors are well in accord with the known orebodies and the spectra of the alteration geological bodies. The authors thus hold that the nonlinear analysis method is a reliable means for extracting alternation anomalies and is also useful for mineral exploitation.
Keywords bathymetry remote sensing      the Xisha Islands      Zhaoshu Island      correlation analysis      regression fitting     
:  TP751.1  
Issue Date: 23 January 2017
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LI Li. Nonlinear analysis method for remote sensing alteration anomalies: A case study of Xinjinchang and Laojinchang in Beishan[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 43-49.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.01.07     OR     https://www.gtzyyg.com/EN/Y2017/V29/I1/43

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