Title :
The monitoring of Kailuan mining area land cover change based on multi-level classification
Author :
Xingli, Li ; Junhai, Gao
Author_Institution :
Tangshan Branch of China Coal Res. Inst., Tangshan, China
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.
Keywords :
feature extraction; geophysical image processing; geophysical techniques; image classification; terrain mapping; China; Kailuan mining area; feature extraction; image classification; knowledge discovery; land cover change; multilevel classification; remote sensing images; Accuracy; Data mining; Green products; Monitoring; Remote sensing; Training; Water; cover change; mining area; multi-level classification method; remote sensing;
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5603072