An invariant feature extraction for multi-modal images matching

Chenzhong Gao; Wei Li

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arXiv · 2311.02842

An invariant feature extraction for multi-modal images matching

Chenzhong Gao·Wei Li

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Abstract

This paper aims at providing an effective multi-modal images invariant feature extraction and matching algorithm for the application of multi-source data analysis. Focusing on the differences and correlation of multi-modal images, a feature-based matching algorithm is implemented. The key technologies include phase congruency (PC) and Shi-Tomasi feature point for keypoints detection, LogGabor filter and a weighted partial main orientation map (WPMOM) for feature extraction, and a multi-scale process to deal with scale differences and optimize matching results. The experimental results on practical data from multiple sources prove that the algorithm has effective performances on multi-modal images, which achieves accurate spatial alignment, showing practical application value and good generalization.

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Chenzhong Gao, Wei Li. 2023-11-06. An invariant feature extraction for multi-modal images matching. https://arxiv.org/abs/2311.02842

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