EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing

6 August 2017

Papers citing "EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing"

7 / 7 papers shown

Title
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders Dimitar Georgiev Álvaro Fernández-Galiana Simon Vilms Pedersen Georgios Papadopoulos Ruoxiao Xie Molly M. Stevens Mauricio Barahona 29 3 0 07 Mar 2024
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 24 56 0 15 Nov 2022
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling Yang Long Gui-Song Xia L. Zhang Gong Cheng Deren Li 8 14 0 06 Jan 2022
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing Haoqing Li R. Borsoi Tales Imbiriba Pau Closas J. Bermudez Deniz Erdoğmuş 22 32 0 17 Apr 2021
Deep matrix factorizations Pierre De Handschutter Nicolas Gillis Xavier Siebert BDL 28 40 0 01 Oct 2020
Towards Spectral Estimation from a Single RGB Image in the Wild Berk Kaya Y. Can Radu Timofte 12 40 0 03 Dec 2018
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution Ying Qu Hairong Qi C. Kwan SupR 19 206 0 13 Apr 2018