3MRS: An Effective Coarse-to-Fine Matching Method for Multimodal Remote Sensing Imagery

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 3; p. 478
• Main Authors: Fan, Zhongli, Liu, Yuxian, Liu, Yuxuan, Zhang, Li, Zhang, Junjun, Sun, Yushan, Ai, Haibin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 20.01.2022
• Subjects: Accuracy; Affine transformations; Algorithms; coarse-to-fine matching strategy; data collection; Datasets; deformation; design; Error correction; exhibitions; filters; Gabor filters; image analysis; Joint use; Methods; multimodal image matching; nonlinear intensity deformations; Outliers (statistics); phase congruency; Phase matching; reliable transformation estimation; Remote sensing; Remote sensors; Sensors; Source code; Template matching

The fusion of image data from multiple sensors is crucial for many applications. However, there are significant nonlinear intensity deformations between images from different kinds of sensors, leading to matching failure. To address this need, this paper proposes an effective coarse-to-fine matching...