Combining local features and progressive support vector machine for urban change detection of VHR images
Huo CL(霍春雷); Huo CL(霍春雷)
2012
会议名称ISPRS
会议录名称AnnalsPRS(该会议为遥感领域的顶级会议,四年一次,已有百年历史)
会议日期2012.8
会议地点澳大利亚
摘要The difficulties about change detection of VHR images are analyzed from different perspectives. Motivated by perception and cognition mechanism of human vision, visual change detection principles are discussed, and a unified change detection framework is proposed. To address the difficulties in change detection of VHR images, a novel approach is presented within the framework, which exploits the combination of local features and change vector displacement field to represent the complex changes of VHR images and utilizes transductive SVM (Support Vector Machine) to classify change features progressively. Experiments demonstrate the effectiveness of the proposed approach.
关键词Change Detection Local Features Change Blindness Cognitive Mechanisms Progressive Transductive Svm
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/11022
专题模式识别国家重点实验室_先进数据分析与学习
通讯作者Huo CL(霍春雷)
作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Huo CL,Huo CL. Combining local features and progressive support vector machine for urban change detection of VHR images[C],2012.
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