首页 | 本学科首页   官方微博 | 高级检索  
     

基于目标检测的SAR图像变化检测方法
引用本文:宋野,王宏琦.基于目标检测的SAR图像变化检测方法[J].遥感技术与应用,2004,19(6):466-472.
作者姓名:宋野  王宏琦
作者单位:(中国科学院电子学研究所,北京 100080)
基金项目:微波成像国家重点实验室基金资助项目(No.51442030101ZK1301)。
摘    要:SAR图像变化检测有着广阔的应用前景,但目前的方法普遍以精确的配准为前提,使其适用范围受到限制。针对人造目标在SAR图像上的特点,提出了一种基于目标检测的SAR图像变化检测方法。通过图像中的人造目标之间相对位置关系的相似程度确定图像的变化情况,以此来降低对图像配准精度的要求。实验表明该方法在很宽的配准精度范围内都可获得较满意的结果。

关 键 词:变化检测  目标检测  三角剖分  点集匹配  合成孔径雷达  
文章编号:1004-0323(2004)06-0466-07
收稿时间:2004-03-30
修稿时间:2004年3月30日

SAR Image Change Detection Method Based on Target Detection
SONG Ye,WANG Hong-qi.SAR Image Change Detection Method Based on Target Detection[J].Remote Sensing Technology and Application,2004,19(6):466-472.
Authors:SONG Ye  WANG Hong-qi
Affiliation:(Institute of Electronics,Chinese Academy of Sciences,Beijing100080,China)
Abstract:Change detection with Synthetic Aperture Radar (SAR) image has wide application prospect, but an accurate registration is a very important precondition for most of the present change detection methods. However, the technology of image registration is still a hard work in the area of image processing especially for SAR image, so it is rather difficult to find a good SAR image registration method which should have both strong adaptability and high accuracy. This will restrict the application of change detection for SAR image to some extent. Thinking of the problem of registration accuracy for the present change detection methods, and according to the characteristics of man-made target in SAR image, a new change detection method with SAR image is presented in this paper, which is based on target detection. In this method, the change detection process is divided into two steps. First, the man-made targets in the images will be detected; second, we will compare the similarity between the relative position relationships of the man-made targets which have been detected from the two images, then the change of images will be decided from this result. As the change detection process is mainly dependent on the relative position relationships of the detected targets, the requirement to the accurate registration can be greatly reduced. The experimental result shows that this method is capable of detecting image changes with rough registration accuracy.
Keywords:Change detection  Target detection  Triangulation  Point set matching  Synthetic aperture radar
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《遥感技术与应用》浏览原始摘要信息
点击此处可从《遥感技术与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号