CORC  > 北京大学  > 地球与空间科学学院
Object-oriented information extraction and application in high-resolution remote sensing image
Wei, WX ; Chen, XW ; Ma, AA
2005
关键词object-oriented information extraction high-resolution satellite image Quickbird eCognition software
英文摘要High-resolution satellite images offer abundance information of the earth surface for remote sensing applications. The information includes geometry, texture and attribute characteristic. The pixel-based image classification can't satisfy high-resolution satellite image's classification precision and produce large data redundancy. Object-oriented information extraction not only depends on spectrum character, but also uses geometry and structure information. It can provide an accessible truly revolutionary approach. Using Beijing Quickbird and high-resolution image and object-oriented classification with the eCognition software, we accomplish the cultures' precise classification. The test areas have five culture types including water, vegetation, road, building and bare hands. We use nearest neighbor classification and appraise the overall classification accuracy. The average of five species reaches 0.90. All of maximum is 1. The standard deviation is less than 0.11. The overall accuracy can reach 95.47%. This method offers a new technology for high-resolution satellite images' available applications in remote sensing culture classification.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000237237605018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Geosciences, Multidisciplinary; Remote Sensing; CPCI-S(ISTP); 2
语种英语
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/312105]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
Wei, WX,Chen, XW,Ma, AA. Object-oriented information extraction and application in high-resolution remote sensing image. 2005-01-01.
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