Spectral Discrepancy and Cross-Modal Semantic Consistency Learning for Object Detection in Hyperspectral Images
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DOI: 10.1109/tmm.2025.3586155
Abstract: Hyperspectral images with high spectral resolution provide new insights into recognizing subtle differences in similar substances. However, object detection in hyperspectral images faces significant challenges in intra- and inter-class similarity due to the spatial differences… read more here.
Keywords: semantic consistency; spectral discrepancy; hyperspectral images; consistency learning ... See more keywords