Knowledge Commons of Institute of Automation,CAS
ROBUST VHR IMAGE CHANGE DETECTION BASED ON LOCAL FEATURES AND MULTI-SCALE FUSION | |
Xu, Yuan; Huo, Chunlei; Xiang, Shiming; Pan, Chunhong; Xu Yuan | |
2013 | |
会议名称 | 2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
会议录名称 | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
页码 | 1991-1995 |
会议日期 | 2013 |
会议地点 | Vancouver |
摘要 | Urban change detection of Very High Resolution (VHR) remote sensing images is challenging, due to the ill-posed nature of change detection problem, the inherent nature of VHR image, the complex morphology of urban scenes, etc. To address the above difficulties, a robust approach is proposed, which is based on discriminative local features, robust distance metric and novel multi-scale fusion strategy. By integrating these components synergistically, the proposed approach is superior to the traditional approaches in capturing semantic changes and removing the false changes. Comparative experiments demonstrate the effectiveness and advantages of the proposed approach. |
关键词 | Change Detection Vhr Image Local Features Belief Propagation Multi-scale Fusion |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/4730 |
专题 | 多模态人工智能系统全国重点实验室_先进时空数据分析与学习 中国科学院自动化研究所 |
通讯作者 | Xu Yuan |
作者单位 | National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Xu, Yuan,Huo, Chunlei,Xiang, Shiming,et al. ROBUST VHR IMAGE CHANGE DETECTION BASED ON LOCAL FEATURES AND MULTI-SCALE FUSION[C],2013:1991-1995. |
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印刷版ICASSP2013.pdf(842KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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