Hyperspectral and Multispectral Image Fusion Via Self-Supervised Loss and Separable Loss
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DOI: 10.1109/tgrs.2022.3204769
Abstract: Fusion of hyperspectral images (HSIs) with low-spatial and high-spectral resolution and multispectral images (MSIs) with high-spatial and low-spectral resolution is an important method to improve spatial resolution. The existing deep-learning-based image fusion technologies usually neglect… read more here.
Keywords: loss; self supervised; image fusion; supervised loss ... See more keywords