作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2010, Vol. 36 ›› Issue (12): 216-218. doi: 10.3969/j.issn.1000-3428.2010.12.074

• 图形图像处理 • 上一篇    下一篇

基于SURF描述子的遥感影像配准

林晓帆1,林立文2,邓 涛3   

  1. (1. 成都信息工程学院软件工程系,成都 610225;2. 武汉大学遥感信息工程学院,武汉 430079;3. 西南电子电信技术研究所,成都 610041)
  • 出版日期:2010-06-20 发布日期:2010-06-20
  • 作者简介:林晓帆(1968-),男,副教授,主研方向:遥感图像处理,软件工程;林立文,博士研究生;邓 涛,高级工程师

Remote Sensing Image Registration Based on SURF Descriptor

LIN Xiao-fan1, LIN Li-wen2, DENG Tao3   

  1. (1. Department of Software Engineering, Chengdu University of Information Technology, Chengdu 610225;2. College of Remote Senseing Information Engineering, Wuhan University, Wuhan 430079;3. Southwest Electronic and Telecommunication Technology Research Institute, Chengdu 610041)
  • Online:2010-06-20 Published:2010-06-20

摘要: 针对多源遥感影像的配准问题,提出一种基于SURF描述子的匹配算法,该算法具有稳健及高精度特性,采用SURF匹配算法得到同名点,利用一次多项式、Forstner算子和最小二乘原理由粗及精地剔除残差较大的同名点,利用提取的密集同名点构建三角网,对影像进行分块精确纠正。实验结果表明,该算法能够实现多源遥感影像的高精度配准。

关键词: 影像配准, SURF描述子, Forstner算子, 三角网

Abstract: This paper proposes a robust and accurate algorithm based on SURF descriptor for multi-source remote-sensing images registration. The algorithm detects the matching points by SURF. A large number of error matching points are eliminated by linear polynomial transformation, Forstner detector and least square with coarse to fine registration process. The image is divided to be corrected accurately through constructing the Triangulated Irregular Network(TIN) with dense refined matching points. Experimental results show the algorithm can realize precise registration for multi-source remote sensing images.

Key words: image registration, SRUF descriptor, Forstner detector, Triangulated Irregular Network(TIN)

中图分类号: