In view of the features of SAR images, we propose an improved SIFT algorithm based on the traditional SIFT algorithm combined with the ROEWA and OTSU algorithms. The algorithm firstly detects the edge region and shadow area of the image by using ROEWA and OTSU algorithms, respectively. Then, the feature points are fused by using SIFT algorithm to find the matching points and calculate the transformation matrix for image registration. Compared with the original algorithm, this method eliminates the influences of the edge response of the DoG operator and the shadow, makes the extraction of feature points more accurate, and enhances the correct matching rate, the stability of the algorithm, and the accuracy of image registration.
CHI Yingpeng
,
LIU Chang
. An improved SIFT algorithm for SAR image registration[J]. Journal of University of Chinese Academy of Sciences, 2019
, 36(2)
: 259
-266
.
DOI: 10.7523/j.issn.2095-6134.2019.02.014
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