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Proceedings Paper

The spectral analysis and information extraction for small geological target detection using hyperion image
Author(s): Qingting Li; Xinxin Wei; Bing Zhang; Shouxun Yan; Xiang Liu
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Paper Abstract

Imaging spectroscopic technique has been used for the mineral and rock geological mapping and alteration information extraction successfully with many reasonable results, but it is mainly used in arid and semi-arid land with low vegetation covering. In the case of the high vegetation covering, the outcrop of the altered rocks is small and distributes sparsely, the altered rocks is difficult to be identified directly. The target detection technique using imaging spectroscopic data should be introduced to the extraction of small geological targets under high vegetation covering area. In the paper, we take Ding-Ma gold deposit as the study area which located in Zhenan country, Shanxi province, the spectral features of the targets and the backgrounds are studied and analyzed using the field reflectance spectra, in addition to the study of the principle of the algorithms, some target detection algorithms which is appropriate to the small geological target detection are introduced. At last, the small altered rock targets under the covering of vegetation in forest are detected and discriminated in imaging spectroscopy data with the methods of spectral angle mapper (SAM), Constrained Energy Minimization (CEM) and Adaptive Cosine Estimator (ACE). The detection results are reasonable and indicate the ability of target detection algorithms in geological target detection in the forest area.

Paper Details

Date Published: 29 December 2008
PDF: 12 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850N (29 December 2008); doi: 10.1117/12.812467
Show Author Affiliations
Qingting Li, Institute of Remote Sensing Applications (China)
Xinxin Wei, Institute of Remote Sensing Applications (China)
Bing Zhang, Ctr. for Earth Observation and Digital Earth (China)
Shouxun Yan, Institute of Remote Sensing Applications (China)
Xiang Liu, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)

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