空军工程大学学报2025，Vol.26Issue(5)：54-61,8.DOI:10.3969/j.issn.2097-1915.2025.05.006
基于多尺度相位一致特征的遥感图像配准方法研究
A Multi-Scale Phase Consistency Feature-Based Alignment Method
摘要
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.关键词
多模态遥感图像/图像配准/特征提取/相位一致性/多尺度Key words
multimodal remote sensing images/image registration/feature extraction/phase consistency/multi-scale分类
信息技术与安全科学引用本文复制引用
许思源,郭苹,潘哲,唐世阳..基于多尺度相位一致特征的遥感图像配准方法研究[J].空军工程大学学报,2025,26(5):54-61,8.基金项目
国家自然科学基金(61701393,61971329) （61701393,61971329）
陕西省重点研发计划(2020ZDLGY02-08) （2020ZDLGY02-08）
空间微波技术国家级重点实验室开放基金(HTKJ2022KL504019) （HTKJ2022KL504019）
