DocumentCode
3107835
Title
New Unsupervised change detection algorithm based on the MRF in remote sensing image
Author
Wei, Lifei ; Zhong, Yanfei ; Zhang, Liangpei ; Li, Pingxiang
Author_Institution
Nat. Lab. for Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
fYear
2011
fDate
11-13 April 2011
Firstpage
325
Lastpage
328
Abstract
The most of traditional change detection methods are adopted to deal with the remote sensing images based on single threshold algorithm, the different threshold change information cannot be absolutely used, so it difficult to detect the complete information. To solve this problem, a new change detection algorithm based on the MRF is proposed in this paper. This method fully integrates the change information of each threshold change image, and the complete and accurate change information can be obtained. The experimental results suggest that the detection accuracy of this method in the paper, which has certain stability and intelligence outperform the traditional change detection methods.
Keywords
image processing; remote sensing; MRF; remote sensing image; unsupervised change detection algorithm; Accuracy; Change detection algorithms; Computational modeling; Image resolution; Joints; Pixel; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location
Munich
Print_ISBN
978-1-4244-8658-8
Type
conf
DOI
10.1109/JURSE.2011.5764785
Filename
5764785
Link To Document