Multimodal Remote Sensing Image Registration using Multiscale Self-Similarities

摘要：

　　Motivated by the recent success of self-similarity in computer vision research,this paper proposed an approach for multimodal remote sensing image registration exploiting multiscale self-similarities (MSS) descriptor and coherent point sets analysis based on Gaussian mixture model (GMM) fitting.Rather than extracting sparse features for matching,we compute MSS descriptor at a regular grid.Point sets are selected according to their MSS descriptor similarity.Experimental results demonstrate the efficiency and the accuracy of the proposed technique for multimodal remote sensing image registration.

关键词： self-similarity computer vision remote sensing multimodal image registration

作者: Hao Sun Lin Lei Huanxin Zou Cheng Wang

作者单位: School of Electronic Science and Engineering National University of Defense Technology Changsha, PR Department of Computer Science Xiamen University Fujian, PR China

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-4

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）