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Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...

Abstract: Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspectral scene. Many ...

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fDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA gDepartment of Radiation Oncology, University of Michigan Hospital, Ann Arbor, MI, USA hInstitute of Neuroscience and ...

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