CM2-STNet: Cross-modal image matching with modal-adaptive feature modulation and sparse transformer fusion
发布时间：2026-03-01
点击次数：
- DOI码：
- 10.1016/j.inffus.2025.103750
- 所属单位：
- Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
- 发表刊物：
- INFORMATION FUSION
- 项目来源：
- This work is supported by the National Key Research and Development Program of China (Grant Nos. 202
- 关键字：
- Multimodal image matching,Feature modulation,Sparse transformer fusion,Top-k selection
- 摘要：
- Multimodal image matching is a fundamental task in geospatial analysis, aiming to establish accurate correspondences between images captured by heterogeneous imaging devices. However, significant geometric inconsistencies and nonlinear radiometric distortions lead to large distribution gaps, posing a major challenge for cross-modal matching. Moreover, existing methods often struggle to adaptively capture intra-and inter-modal features at multiple scales and to focus on semantically relevant regions in large-scale scenes. To address these issues, we propose a novel cross-modal image matching ne
- 合写作者：
- Wei, Pengcheng, Peilian,Zhang, Jindou,Chang, Boshen,Guo, Mingqiang,Wu, Liang,Ma, Jiayi
- 第一作者：
- Zhang, Zhizheng
- 论文类型：
- 期刊论文
- 通讯作者：
- Shao, Zhenfeng
- 卷号：
- 127
- ISSN号：
- 1566-2535
- 是否译文：
- 否
- 发表时间：
- 2026-03-01