A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation

30 September 2015

Papers citing "A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation"

6 / 6 papers shown

Title
Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation Jingwei Song Shaobo Xia Jun Wang Mitesh Patel Dong Chen UQCV 56 8 0 23 Apr 2020
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty Savas Ozkan G. Akar UQCV 109 14 0 03 Aug 2018
Deep Spectral Convolution Network for HyperSpectral Unmixing Savas Ozkan G. Akar 58 11 0 22 Jun 2018
Unmixing urban hyperspectral imagery with a Gaussian mixture model on endmember variability Yuan Zhou Erin B. Wetherley P. Gader 15 4 0 25 Jan 2018
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing Yuan Zhou Anand Rangarajan P. Gader 61 93 0 29 Sep 2017
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing Savas Ozkan Berk Kaya G. Akar 80 194 0 06 Aug 2017