{"ID":2882123,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.10294","arxiv_id":"2508.10294","title":"A Mutual-Structure Weighted Sub-Pixel Multimodal Optical Remote Sensing Image Matching Method","abstract":"Sub-pixel matching of multimodal optical images is a critical step in combined application of multiple sensors. However structural noise and inconsistencies arising from variations in multimodal image responses usually limit the accuracy of matching. Phase congruency mutual-structure weighted least absolute deviation (PCWLAD) is developed as a coarse-to-fine framework. In the coarse matching stage, we preserve the complete structure and use an enhanced cross-modal similarity criterion to mitigate structural information loss by PC noise filtering. In the fine matching stage, a mutual-structure filtering and weighted least absolute deviation-based is introduced to enhance inter-modal structural consistency and accurately estimate sub-pixel displacements adaptively. Experiments on three multimodal datasets-Landsat visible-infrared, short-range visible-near-infrared, and UAV optical image pairs demonstrate that PCWLAD consistently outperforms eight state-of-the-art methods, achieving an average matching accuracy of approximately 0.4 pixels. The software and datasets are publicly available at https://github.com/huangtaocsu/PCWLAD.","short_abstract":"Sub-pixel matching of multimodal optical images is a critical step in combined application of multiple sensors. However structural noise and inconsistencies arising from variations in multimodal image responses usually limit the accuracy of matching. Phase congruency mutual-structure weighted least absolute deviation (...","url_abs":"https://arxiv.org/abs/2508.10294","url_pdf":"https://arxiv.org/pdf/2508.10294v2","authors":"[\"Tao Huang\",\"Hongbo Pan\",\"Nanxi Zhou\",\"Siyuan Zou\",\"Shun Zhou\"]","published":"2025-08-14T02:49:19Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":610861,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2882123,"paper_url":"https://arxiv.org/abs/2508.10294","paper_title":"A Mutual-Structure Weighted Sub-Pixel Multimodal Optical Remote Sensing Image Matching Method","repo_url":"https://github.com/huangtaocsu/PCWLAD","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}