2010 Second IITA International Conference on Geoscience and Remote Sensing 2010
DOI: 10.1109/iita-grs.2010.5603072
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The monitoring of Kailuan mining area land cover change based on multi-level classification

Abstract: This paper discusses knowledge discovery and feature extraction on the basis of traditional classification method of the remote sensing picture. Multi-level classification method is used in monitoring of mining area land cover. This method is superior to the classifying device of single routine. In this paper, Kailuan mining area land cover change is obtained by using multi-level classification method dealing with Kailuan mining area remote sensing images.

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