A SAR IMAGE REGISTRATION METHOD BASED ON SIFT ALGORITHM Article Swipe

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Scale-invariant feature transform Smoothing Artificial intelligence Computer science Synthetic aperture radar Computer vision Noise (video) Matching (statistics) Image (mathematics) Feature (linguistics) Pattern recognition (psychology) Noise reduction Image registration Algorithm Feature detection (computer vision) Median filter Image processing Mathematics Linguistics Philosophy Statistics

Wei Lu , Xiang-an Yue , Yitian Zhao , C. Han ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.5194/isprs-archives-xlii-2-w7-623-2017 · OA: W2754283053

In order to improve the stability and rapidity of synthetic aperture radar (SAR) images matching, an effective method was presented. Firstly, the adaptive smoothing filtering was employed for image denoising in image processing based on Wallis filtering to avoid the follow-up noise is amplified. Secondly, feature points were extracted by a simplified SIFT algorithm. Finally, the exact matching of the images was achieved with these points. Compared with the existing methods, it not only maintains the richness of features, but a-lso reduces the noise of the image. The simulation results show that the proposed algorithm can achieve better matching effect.