| 基于SURF算子的SAR图像匹配改进算法研究 |
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| 引用本文： | 贺经纬,尤红建. 基于SURF算子的SAR图像匹配改进算法研究[J]. 遥感技术与应用, 2009, 24(6): 822-826. DOI: 10.11873/j.issn.1004-0323.2009.6.822 |
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| 作者姓名： | 贺经纬 尤红建 |
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| 作者单位： | 1.中国科学院空间信息处理与应用系统技术重点实验室,北京 100190； ;2.中国科学院电子学研究所,北京 100190; 3.中国科学院研究生院,北京 100049 |
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| 摘 要： | 合成孔径雷达（SAR）图像的匹配有着图像纹理特征丰富、匹配计算量大的特点同时要求匹配点均匀分布。针对几种常见匹配算法的不足,利用SURF算子进行图像特征点的提取,在提取亚像素级的精度特征点基础上,使用双向搜索算法改进了匹配正确率。然后根据数据随机取样一致性（RANSAC）剔除错误点,并用仿射和二次多项式两种变换模型进行了实验,验证了匹配的正确性。
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| 关 键 词： | 图像匹配 SURF 特征点提取 变换模型 |
Improvement on SAR Image Matching Algorithm Based on SURF |
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| HE Jing-wei,YOU Hong-jian. Improvement on SAR Image Matching Algorithm Based on SURF[J]. Remote Sensing Technology and Application, 2009, 24(6): 822-826. DOI: 10.11873/j.issn.1004-0323.2009.6.822 |
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| Authors: | HE Jing-wei YOU Hong-jian |
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| Affiliation: | 1.Key Laboratory of Spatial Information Processing and Application System Technology,Chinese Academy of Sciences,Beijing 100190,China;2.Institute of Electronics,Chinese Academy of Sciences, Beijing 100190,China;3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China |
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| Abstract: | The matching between SAR images is characterized by the rich texture of images and massive amount of computation,as well as the requirement of uniformly distribution for the matched points. After analysis the deficiencies of several common matching approaches,we propose a new algorithm for SAR image matching based on SURF,which can achieve sub-pixel accuracy. We then employ bidirectional search strategy and RANSAC algorithm to improve the accuracy and speed of searching correct matching points. Finally,we testify the validity of the method through affine model and quadratic polynomial model. |
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| Keywords: | SURF Image matching SURF Features point extraction Transform model |
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