Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis
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DOI: 10.1109/tgrs.2018.2837150
Abstract: This paper presents a novel approach for spectral unmixing of remotely sensed hyperspectral data. It exploits probabilistic latent topics in order to take advantage of the semantics pervading the latent topic space when identifying spectral… read more here.
Keywords: probabilistic latent; sparse probabilistic; hyperspectral unmixing; dual depth ... See more keywords