Multisource Image Matching Method Using Hierarchical Structure Constraint and Phase Congruency
Chuan Xu, Huan Zhang, Yang Wei, Chang Liu, Haigang Sui · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022
Multisource image matching is still a challenging task due to the significant nonlinear radiometric differences and scale variations. To address the problem, we present a novel phase congruency approach and hierarchical structure constraint strategy for multisource image matching. Specifically, we employ the phase congruency of image frequency domain in Gaussian scale space, and KAZE operator was used to detect feature point in the maximum moment space, which was obtained by the Fourier transform of the Log-Gabor even-symmetric filter. And then, extended phase features within the neighborhood region were generated, next feature description in the framework of polar coordinates was obtained. Finally, in the stage of image matching, we use the hierarchical structure constraint strategy for random sampling and verification. The experiments show that the proposed algorithm is superior to d2-NET, LGHD, RIFT, and other mainstream multisource image matching methods. Especially for scale change and rotation, the proposed algorithm provides a better way to describe the common features of multisource images, and results in a reliable and accurate matching for multisource image with obvious intensity and radiation differences.