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遥感技术与应用  2006, Vol. 21 Issue (3): 249-252    DOI: 10.11873/j.issn.1004-0323.2006.3.249
图像处理     
基于跨接约束的高分辨率SAR 影像与光学影像配准
陈富龙1, 张 红1, 2, 王 超1, 2

(1. 中国科学院研究生院, 中国科学院遥感应用研究所遥感科学国家重点开放实验室, 北京 100101;2. 中国科学院中国遥感卫星地面站, 北京 100086)
Registration of High-resolution SAR Image and Optics Image Based on the Bridging-mode Constraint
CHEN Fu-long1, ZHANG Hong1, 2, WANG Chao1, 2

(1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Graduate School of Chinese Academy of Sciences, Beijing 100101, China; 2. China Remote Sensing Satellite Ground Station, Chinese Academy of Sciences, Beijing 100086, China)
 全文: PDF 
摘要:

为了实现高分辨率SAR 影像与光学影像之间自动/半自动配准, 提出了一种新颖、稳健的匹配算法。算法首先利用仿射变换进行SAR 影像和光学影像粗匹配, 简化了整体算法的处理复杂度;然后利用影像边缘稳健性, 使用边缘提取算子分别对SAR 影像和光学影像进行边缘提取, 为后续精匹配做好了数据准备; 最后使用基于边缘纹理跨接约束进行影像之间精匹配, 方法引入了邻域配准约束机制, 很好的解决了经典匹配多峰值效应, 提高了算法稳健性和实用性。以国内机载高分辨率SAR 数据和SPOT 25 PAN 数据为例进行算法验证, 实验结果表明该算法能实现自动/半自动的高分辨率SAR 和光学影像之间的像素级配准。

关键词: 高分辨率SAR边缘纹理 跨接约束    
Abstract:

In order to realize the automatic or semi-automatic registration of SAR images with high resolution and optics images, in this paper, a novel and robust algorithm is proposed. The algorithm contains three main steps. Firstly, speckle filtering is employed on SAR image, and a coarse matching between SAR and optics images is implemented, which simplifies the complication of the whole process. In the second step , image edges are extracted from SAR and optics images, respectively, which treat as the input data for the sub sequent process. Finally, a bridging-mode constraint method based on the edge
texture is used to achieve a fine match. Due to the constraint and correlation between the processing local image region and its neighbor regions, the multi-value problem can be well resolved, which results to the algorithm’s robustness and applicat ion. Domestic Airborne high-resolution SAR data and SPOT 25 PAN data are used for experiments, and the results show the methods proposed in this paper work well in automatic or semi-automatic registration of high-resolution SAR images and optics images, with pixels accuracy.

Key words: High-resolution SAR    Edge texture    Bridging-mode constraint
收稿日期: 2005-11-24 出版日期: 2011-09-27
:  TP 75  
基金资助:

国家重点基础研究发展规划项目(“973”计划) , 课题编号为2001CB309406。

作者简介: 陈富龙(1980- ) , 男, 博士, 目前主要从事SAR 影像自动配准研究工作。
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引用本文:

陈富龙, 张 红, 王 超. 基于跨接约束的高分辨率SAR 影像与光学影像配准[J]. 遥感技术与应用, 2006, 21(3): 249-252.

CHEN Fu-long, ZHANG Hong, WANG Chao. Registration of High-resolution SAR Image and Optics Image Based on the Bridging-mode Constraint. Remote Sensing Technology and Application, 2006, 21(3): 249-252.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2006.3.249        http://www.rsta.ac.cn/CN/Y2006/V21/I3/249


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