| Technology Application |
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Spatial Structure Features and Basic Statistic Parameters of Typical Ground Object Spectral Data |
| WANG Dong-yin1,2, ZHU Gu-chang1,3, ZHANG Yuan-fei2 |
1. Central South University, Changsha 410083, China;
2. China Non-ferrous Metals Resource Geological Survey, Beijing 100012, China;
3. Sinotech Minerals Exploration Co., Ltd., Beijing 100012, China |
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Abstract From the point of view of spectral curve and spectral feature space and through the analysis of the spectral data of three main ground objects measured in the field, i.e., rocks , soil and vegetation, in the two study areas of Tuquan in Inner Mongolia and Tongren in Qinghai, the authors found that the feature distribution forms are basically the same in the two study areas in both spectral curve space and spectral feature space, although there exist a bit difference caused by the geological environment, ecological environment and climate factors in different areas. Through the analysis and experiment, it is found that several new band combinations can better distinguish the three main ground objects in the spectral feature space and can also guide the classification of the three main ground objects based on the scatter plots of the remote sensing image. This research is helpful to improving the method for extraction of alteration information.
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| Keywords
Gaussian mixture model(GMM)
expectation maximization(EM)algorithm
simulated annealing(SA)
Markov random field(MRF)
remote sensing information extraction
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Issue Date: 13 November 2012
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2012,
Vol. 24
