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《Science of Surveying and Mapping》 2015-06
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Research of change detection using high-resolution remote sensing images and vector data oriented to geographic national conditions monitoring

ZHAO Zhen-zhen;YAN Qin;LIU Zheng-jun;Chinese Academy of Surveying and Mapping;Shangdong Agricultural University;  
With the combination of two phases' high-resolution remote sensing images and vector data,this paper analyzed the inconsistencies after matching vector data and remote sensing images and then proposed a multi-scale segmentation method to obtain homogeneous image segments in the two phase images.According to the result,apost-classification comparison change detection method based on the Nearest Neighbor algorithm was developed.The results showed that the image segments obtained by the multiscale segmentation algorithm matched the goals of"same spectrum within classes"and"different spectrum among classes".And post-classification comparison change detection method could detect over 80 percent of the changed regions.The method could obtain the image segments' categories and had higher precision and higher application value.
【Fund】: 国家科技支撑计划项目(2012BAB16B01)
【CateGory Index】: P237
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