DocumentCode
2587606
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
Volume
2
fYear
2010
fDate
28-31 Aug. 2010
Firstpage
472
Lastpage
475
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-8514-7
Type
conf
DOI
10.1109/IITA-GRS.2010.5603072
Filename
5603072
Link To Document