A Two-Stream Stacked Autoencoder With Inter-Class Separability for Bilinear Hyperspectral Unmixing
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DOI: 10.1109/tci.2024.3369410
Abstract: Deep learning-based hyperspectral unmixing (HU) is getting increasing attention in the field of remote sensing, aiming at endmember extraction and abundance estimation at pixel scale. However, many existing deep learning-based unmixing methods base on linear… read more here.
Keywords: two stream; inter class; separability; class separability ... See more keywords