Residual Dense Autoencoder Network for Nonlinear Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3188565
Abstract: Hyperspectral unmixing is a popular research topic in hyperspectral processing, aiming at obtaining the ground features contained in the mixed pixels and their proportion. Recently, nonlinear mixing models have received particular attention in hyperspectral decomposition… read more here.
Keywords: dense autoencoder; hyperspectral unmixing; autoencoder network; residual dense ... See more keywords