Exploring Conflict-Matching Learning With Temporal Weight-Sharing and Bandwise Spatial-Interacting Transformer for Hyperspectral Change Detection
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DOI: 10.1109/tgrs.2024.3465537
Abstract: Hyperspectral imagery is valuable for accurate detection of land-cover changes within a consistent area across time. However, current training paradigms for hyperspectral change detection (CD) are usually in supervised form which are not consistent to… read more here.
Keywords: bandwise spatial; change detection; conflict; weight sharing ... See more keywords