Multisemantics-Aware Optimal Feature Matching for Multimodal Remote Sensing Images

Feature matching for multimodal remote sensing images is a critical and challenging task due to the substantial differences in imaging mechanisms across diverse sensors. Traditional feature matching methods often struggle to achieve high accuracy under such conditions. To better exploit the structur...

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Bibliographic Details

Main Authors:	Yun Liao, Yide Di, Yunan Liu, Hao Zhou, Xuewen Tan, Junhui Liu, Qing Duan
Format:	Artigo
Language:	Inglês
Published:	IEEE 2026-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Multimodal remote sensing image matching multisemantics aware module optimal fine matching (OFM) semantic-driven global matching (SDGM)
Online Access:	https://ieeexplore.ieee.org/document/11455921/
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