EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing
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DOI: 10.1109/tgrs.2018.2856929
Abstract: Data acquired from multichannel sensors are a highly valuable asset to interpret the environment for a variety of remote sensing applications. However, low spatial resolution is a critical limitation for previous sensors, and the constituent… read more here.
Keywords: extraction hyperspectral; hyperspectral unmixing; endmember extraction; autoencoder ... See more keywords