A robust oriented filter-based matching method for multisource, multitemporal remote sensing images

• Published in: IEEE transactions on geoscience and remote sensing Vol. 61; p. 1
• Main Authors: Fan, Zhongli, Wang, Mi, Pi, Yingdong, Liu, Yuxuan, Jiang, Huiwei
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive optics; Angles (geometry); Direction; Error correction; Feature extraction; Feature maps; Filters; Image filters; Image matching; Infrared imagery; Infrared radar; Matching; Multisource images; Multitemporal images; nonlinear intensity differences (NIDs); Optical distortion; Optical filters; Optical imaging; Optical sensors; Oriented filers; Remote sensing; Robustness; Root-mean-square errors; SAR (radar); Synthetic aperture radar

The accurate matching of multisource, multi-temporal remote sensing images is challenging because of significant nonlinear intensity differences (NIDs) and severe geometric distortions. To address these problems, we developed a robust image matching method: oriented filter-based matching (OFM). OFM...