Motion Consistency-Based Correspondence Growing for Remote Sensing Image Matching

In this letter, we propose a remote sensing image matching method that is simple yet efficient to deal with different deformations. Inspired by the region growing strategy used in image segmentation, we integrate the motion consistency into the general region growing pipeline from a novel perspectiv...

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Bibliographic Details
Published inIEEE geoscience and remote sensing letters Vol. 19; pp. 1 - 5
Main Authors Liu, Yizhang, Li, Yanping, Dai, Luanyuan, Lai, Taotao, Yang, Changcai, Wei, Lifang, Chen, Riqing
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Agriculture
Consistency
Feature extraction
Forestry
Image matching
Image processing
Image segmentation
Matching
motion consistency
Movement
Pipelines
region growing
Remote sensing
Submarine pipelines
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Summary:In this letter, we propose a remote sensing image matching method that is simple yet efficient to deal with different deformations. Inspired by the region growing strategy used in image segmentation, we integrate the motion consistency into the general region growing pipeline from a novel perspective. Specifically, we first obtain a subset with a high ratio inlier as the seed correspondence set. Then, to find more reliable correspondences, we formulate the motion consistency into the correspondence growing criterion, which is general to be suitable to many remote sensing applications. Extensive experimental results on the public available remote sensing data set show that our method achieves the best performance compared with state-of-the-art methods.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2020.3048258