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《Science of Surveying and Mapping》 2013-04
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Review on change detection methods of remote sensing images

HUANG Liang,ZUO Xiao-qing,YU Xue-qin(Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China)  
The application of change detection is one of the hot spots in remote sensing application research.Change detection is a process that analyzes a pair of remote sensing images acquired on the same geographical area at different times in order to identify changes.In this paper,the research actuality and new process in change detection were introduced summarily.Firstly,the traditional classification method of change detection was introduced.Then,the change detection approaches separately based on pixel,object and combining with specific theory(including Neural Networks,Support Vector Machine,Morphological Theory,Fuzzy Entropy Principle,Wavelet Transform,Swarm Algorithm,Genetic Algorithm) were presented emphatically,and the involved theory and the latest research were briefly reviewed.Finally,remote sensing change detection methods were discussed.
【Fund】: 国家自然科学基金(41061043);; 云南省教育厅科学研究基金(2011J075)
【CateGory Index】: P237
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【Citations】
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