Rank-Based Local Self-Similarity Descriptor for Optical-to-SAR Image Matching

• Published in: IEEE geoscience and remote sensing letters Vol. 17; no. 10; pp. 1742 - 1746
• Main Authors: Xiong, Xin, Xu, Qing, Jin, Guowang, Zhang, Hongmin, Gao, Xin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.10.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive optics; Correlation; Correlation coefficient; Correlation coefficients; Histograms; Image matching; local self-similarity (LSS); Nonlinear optics; Optical imaging; Optical sensors; optical-to-synthetic aperture radar (SAR); Radar imaging; Radiometry; rank; SAR (radar); Self-similarity; Statistical methods; Synthetic aperture radar; Template matching

Automatic optical-to-synthetic aperture radar (SAR) image matching is still a challenging task due to the existence of severe nonlinear radiometric differences between the images and the presence of strong speckles in the SAR images. To address this problem, we propose a novel feature descriptor cal...