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Image Matching Using Phase Congruency and Log-Gabor Filters in the SAR Images and Visible Images

  • Xiaomin LiuEmail author
  • Huaqi Zhao
  • Huibin Ma
  • Jing Li
Conference paper
  • 27 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1107)

Abstract

SAR and visible image matching provides many applications in remote sensing, image fusion and image guidance with laborious problems with regard to the potential nonlinear intensity differences between two images. This paper proposes an image matching approach which use the phase congruency (PC) to detect corners and log-gabor filters for obtaining feature descriptor in the SAR and visible images. PC can provide inherent and rich image textures for the images with intricate grayscale changes or noise, which is utilitized to detect the corners. The moments of PCs for the images are calculated to obtain the keypoints and the log-gabor filters are employed to acquire the feature descriptors. Five evaluation methods are used for testing the results of the algorithm for three pairs of images and its result is compared to the SIFT algorithm. The experiment performance show that the advocated algorithm is better than the SIFT algorithm.

Keywords

SAR image Image matching Phase congruency Log-gabor filters 

Notes

Acknowledgments

Heilongjiang Provincial Natural Science Foundation of China under Grant No. QC2015072, and Jiamusi University Young Innovative Talents Training Program No. 22Zq201506, Heilongjiang Prvincial Innovative Training Program for College Students No. 201610222066, Doctoral Program of Jiamusi University No. 22Zb201519, Excellent discipline team project of Jiamusi University (No. JDXKTD-2019008).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Electronics and Information EngineeringHarbin Institute of TechnologyHarbinChina
  2. 2.Information and Electronic Technology InstituteJiamusi UniversityJiamusiChina

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