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
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;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location :
Munich
Print_ISBN :
978-1-4244-8658-8
DOI :
10.1109/JURSE.2011.5764785