A Multi-Scale Phase Consistency Feature-Based Alignment Method
XU Siyuan
GUO Ping
PAN Zhe
TANG Shiyang
Abstract：Different types of sensors differ from radiation mechanisms.The images among multi-modal re-mote sensors are characterized by significant source and geometric distortions.For the non-linear radiation problem in SAR images,though the phase consistency methods have strong robustness,this method is sensitive to scale changes in processing images.In order to achieve multi-scale alignment of visible light and SAR remote sensing images,a multi-scale phase consistency feature-based alignment method is pro-posed.First,a multi-scale spatial domain is constructed by using the Gaussian functions,and the detec-tion of phase consistency is performed to the images at different scale layers to extract feature points.A multi-scale fusion algorithm is used to fuse the phase consistency feature points with multi-scale features.And then,a description based on the maximum amplitude response and direction index of the Log-Gabor filter in polar coordinates is constructed for alignment.Finally,the correct matches are identified by using the nearest neighbor ratio and fast sample consistency.The experimental results show that the proposed algorithm is significant superior to the multi-scale alignment of visible light and the SAR images,impro-ving the alignment accuracy.
Keywords：multimodal remote sensing imagesimage registrationfeature extractionphase consistencymulti-scale
Publication Date：2025-10-25
Online Publishing Date：2025-10-17(First online date of this platform, not the publication date of the document)
Pages：8( 54-61 )