GAUSS: Guided Encoder-Decoder Architecture for Hyperspectral Unmixing with Spatial Smoothness

no code implementations • 16 Apr 2022 • Yasiru Ranasinghe, Kavinga Weerasooriya, Roshan Godaliyadda, Vijitha Herath, Parakrama Ekanayake, Dhananjaya Jayasundara, Lakshitha Ramanayake, Neranjan Senarath, Dulantha Wickramasinghe

In the Guided Encoder-Decoder Architecture for Hyperspectral Unmixing with Spatial Smoothness (GAUSS), we proposed using one-hot encoded abundances as the pseudo-ground truth to guide the UN; computed using the k-means algorithm to exclude the use of prior HU methods.

Decoder Hyperspectral Unmixing

Convolutional Autoencoder for Blind Hyperspectral Image Unmixing

no code implementations • 18 Nov 2020 • Yasiru Ranasinghe, Sanjaya Herath, Kavinga Weerasooriya, Mevan Ekanayake, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath

In the remote sensing context spectral unmixing is a technique to decompose a mixed pixel into two fundamental representatives: endmembers and abundances.

Decoder