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Extraction of interest points by Harris interest operator for synthetic aperture radar image coregistration

机译：Harris兴趣算子提取合成孔径雷达图像配准的兴趣点

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In image coregistration of synthetic aperture radar (SAR) interferometry, a set of points is selected for tie point matching. Generally, some special points are possibly selected as tie points to improve the reliability of coregistration. However, special points cannot always be found in an image. Therefore points in grid form are commonly selected for image coregistration and this makes the results not as reliable as special points do. In this study, hence, a series of points detected by Harris interest operator (HIO) are used as tie points for SAR image coregistration. After wavelet decomposition of a SAR image, the basic energy is reserved in the low-pass subimage and this benefits the extraction of interest points conducted by HIO on the highest level. Three pairs of SAR image in Hong Kong area are used to prove the efficiency of the proposed method. For comparison, image coregistration based on grid points and interest points are implemented, respectively, in which different numbers of points are adopted. Based on the analysis of experimental results, it is found that the quality of interferogram is greatly improved by interest points and coregistration with interest points is more reliable.
机译：在合成孔径雷达（SAR）干涉测量的图像配准中，选择一组点进行联系点匹配。通常，可能会选择一些特殊点作为联系点，以提高共容性的可靠性。但是，不能始终在图像中找到特殊点。因此，通常选择网格形式的点进行图像增强，这使得结果不像特殊点那样可靠。因此，在这项研究中，哈里斯兴趣算子（HIO）检测到的一系列点被用作SAR图像配准的联系点。 SAR图像经过小波分解后，基本能量保留在低通子图像中，这有利于HIO在最高级别上进行兴趣点的提取。利用香港地区三对SAR图像证明了该方法的有效性。为了进行比较，分别实现了基于网格点和兴趣点的图像配准，其中采用了不同数量的点。通过对实验结果的分析，发现利用兴趣点可以大大提高干涉图的质量，并且与兴趣点的共存更加可靠。

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    《Image Processing, IET》 |2013年第5期|500-513|共14页
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