Abstract: Multispectral LiDAR point clouds are valuable in remote sensing for their spatial–spectral consistency, yet their high acquisition and annotation costs pose significant challenges. To ...
The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
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Abstract: Deep learning has shown great promise in hyperspectral unmixing (HU), especially the unmixing methods based on autoencoder (AE) networks, which are the most prevalent these days. Since most ...
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