Aiming at the problem of inaccurate extraction of feature points of unevenly illuminated images and poor matching effect by traditional feature matching algorithms, this paper proposes an AKAZE image matching algorithm combined with single-parameter homomorphic filtering. The algorithm first compensates for the illumination information of the image through single-parameter homomorphic filtering; secondly, it uses the AKAZE algorithm to extract feature points of the image after the single-parameter homomorphic filtering, and then uses Hamming distance as the similarity measure to perform brute force matching on the feature points; Finally, the RANSAC algorithm based on the homography matrix is used for precise matching, and the wrong matching point pairs are eliminated. The experimental results show that the algorithm can not only effectively improve the brightness and contrast of the image, detect more feature points, but also improve the accuracy of matching, which has strong applicability.
SAR image registration is a key step in SAR data processing, and it plays an important role in change detection, image mosaic fusion and target recognition. The traditional rigid registration model can only realize the rotation and translation transformation of a whole image. However, for SAR images with coherent speckle noise and complex deformation, the local transformation result can’t meet the accuracy requirement of the later data processing. In this paper, the existing SAR image registration method is improved. After finishing SAR image feature matching by means of SURF and RANSAC algorithms, we construct an image conversion model with thin plate spline, which can decompose the space transformation of SAR image into global affine transformation and local non affine transformation. In this way, the whole and local mapping transformation of images can be realized simultaneously without the local distortion. The experimental results show that the improved method can achieve better transformation and obtain higher registration accuracy in the whole and local processing of SAR images.
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