Hyperspectral unmixing using deep convolutional autoencoder
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DOI: 10.1080/01431161.2020.1724346
Abstract: ABSTRACT Hyperspectral Unmixing (HU) estimates the combination of endmembers and their corresponding fractional abundances in each of the mixed pixels in the hyperspectral remote sensing image. In this paper, we address the linear unmixing problem… read more here.
Keywords: unmixing using; deep convolutional; hyperspectral unmixing; convolutional autoencoder ... See more keywords