Registration of Remote Sensing Images with Steerable Pyramid Transform and Robust SIFT Features

摘要：

This paper proposes an automatic registration technique based on steerable pyramid transform and robust shift invariant feature transform (SIFT) features, which can deal with the large variations of scale, rotation and illumination of the images. First, the steerable pyramid transform is used to the two input images and the sub-band images along certain orientations are obtained at each layer. Then, a robust SIFT algorithm is developed to calculate the initial transformation parameters for registration of these obtained images. Finally, the final refined parameters determined by using gradual optimization are adopted to achieve the registration result. The effectiveness of the proposed method is demonstrated by the experimental results.

关键词： Image registration Steerable pyramids transform robust SIFT Remote sensing image

作者: Xiangzeng Liu Zheng Tian Haixia Xu Chengcai Leng Feiyue He

作者单位: Department of Applied Mathematics, Northwestern Polytechnical University, Xian 710129, China Department of Applied Mathematics, Northwestern Polytechnical University, Xian 710129, China State School of Computer Science, Northwestern Polytechnical University, Xian 710129, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 214-217

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）