DocumentCode :
1408083
Title :
Fast Object-Level Change Detection for VHR Images
Author :
Huo, Chunlei ; Zhou, Zhixin ; Lu, Hanqing ; Pan, Chunhong ; Chen, Keming
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
Volume :
7
Issue :
1
fYear :
2010
Firstpage :
118
Lastpage :
122
Abstract :
A novel approach is presented for change detection of very high resolution images, which is accomplished by fast object-level change feature extraction and progressive change feature classification. Object-level change feature is helpful for improving the discriminability between the changed class and the unchanged class. Progressive change feature classification helps improve the accuracy and the degree of automation, which is implemented by dynamically adjusting the training samples and gradually tuning the separating hyperplane. Experiments demonstrate the effectiveness of the proposed approach.
Keywords :
feature extraction; geophysical image processing; image classification; VHR images; feature extraction; object level change detection; progressive change feature classification; very high resolution images; Fast multitemporal segmentation; object-level change vector analysis; progressive classification;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2009.2028438
Filename :
5247033
Link To Document :
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