GLIFT: A Global-to-Local Invariant Feature Transformation Method for Multimodal Remote Sensing Image Matching

Shaochen Zhang; Bin Luo; Jun Liu; Zhitao Fu; Xin Su; Shiliang Zhu

doi:10.1109/tgrs.2025.3599445

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GLIFT: A Global-to-Local Invariant Feature Transformation Method for Multimodal Remote Sensing Image Matching

Shaochen Zhang Bin Luo Jun Liu Zhitao Fu Xin Su Shiliang Zhu

Year: 2025 Journal: IEEE Transactions on Geoscience and Remote Sensing Vol: 63 Pages: 1-19 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tgrs.2025.3599445

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Keywords:

Invariant (physics) Image matching Transformation (genetics) Feature matching Feature extraction Feature (linguistics) Pattern recognition (psychology) Matching (statistics)

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Geochemistry and Geologic Mapping

Physical Sciences → Computer Science → Artificial Intelligence

Geological Modeling and Analysis

Physical Sciences → Earth and Planetary Sciences → Geochemistry and Petrology

Electrical and Electromagnetic Research

Physical Sciences → Physics and Astronomy → Atomic and Molecular Physics, and Optics

GLIFT: A Global-to-Local Invariant Feature Transformation Method for Multimodal Remote Sensing Image Matching

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