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Volume 30 Issue 12
Jan.  2011
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Zhang Hui, Wang Jian-Guo. A SAR Image Matching Algorithm Based on Target Detection[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2818-2821. doi: 10.3724/SP.J.1146.2007.00920
Citation: Zhang Hui, Wang Jian-Guo. A SAR Image Matching Algorithm Based on Target Detection[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2818-2821. doi: 10.3724/SP.J.1146.2007.00920

A SAR Image Matching Algorithm Based on Target Detection

doi: 10.3724/SP.J.1146.2007.00920
  • Received Date: 2007-06-11
  • Rev Recd Date: 2007-09-24
  • Publish Date: 2008-12-19
  • This paper presents an algorithm about SAR image matching based on target detection.According to the characteristics of SAR image, this method detects the strong scatterer targets firstly,and then calculates the centroid points of the strong scatterers targets, then these centroid points are used to generating Delaunay triangulation, After triangulation,in the centroids, incenters, circumcenters of the corresponding similar triangle for establishing the maping function between master-image and slave-image. Finally, the test carried out with SAR images of ERS-I, ERS-II satellite, compareing with the methods based on correlation, the experimental result confirms the effectiveness of this method.
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  • [1] Barbara Zitov, Jan Flusser. Image registration methods: asurvey[J].Image and Vision Computing.2003, 21(11):977-1000 [2] 甘荣兵. 合成孔径雷达对抗及目标检测技术研究. [博士论文],成都, 电子科技大学, 2005, 11. [3] 马小虎. 一种基于图的平面点集Delaunay三角剖分算法, 中国图象图形学报, 1997年, 2(1), 7-10.Ma Xiao-hu. A graph-based algorithm for generating theDelaunay triangulation of a planar point set. China journal ofimage graphics, 1997, 2 (1), 7-10. [4] 黄勇. SAR图像变化检测及相关技术研究: [博士论文]. 成都,电子科技大学, 2006. [5] 张晓玲. 干涉合成孔径雷达成像处理技术研究. [博士论文],成都, 电子科技大学, 1999, 12.
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