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The building recognition of high resolution satellite remote sensing image based on wavelet analysis
Qin, QM ; Chen, SJ ; Wang, WJ ; Chen, DZ ; Wang, L
2005
关键词wavelet analysis high resolution satellite remote sensing image building recognition
英文摘要This paper imported wavelet analysis and wavelet descriptor into the building recognition of high resolution satellite remote sensing image, and brought forward the building recognition method based on wavelet descriptor in theory: firstly used wavelet analysis to do image segmentation in order to wipe off the large blocks of vegetation area in the image, then used dyadic wavelet to extract the edge, and used coordinate wavelet descriptor to describe the detected building contour, after that, computed the affine invariants to recognize the buildings, at last employed shadow validating to ascertain if the detected edge was the real building edge. This paper also constructed the building recognition pattern database, and used a QuickBird RS image of Peking University to do the experiment and the experimental result proved the feasibility of the method.; Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Computer Science, Information Systems; CPCI-S(ISTP); 0
语种英语
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/312123]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
Qin, QM,Chen, SJ,Wang, WJ,et al. The building recognition of high resolution satellite remote sensing image based on wavelet analysis. 2005-01-01.
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