ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1710.00075
  4. Cited By
A Gaussian mixture model representation of endmember variability in
  hyperspectral unmixing
v1v2 (latest)

A Gaussian mixture model representation of endmember variability in hyperspectral unmixing

29 September 2017
Yuan Zhou
Anand Rangarajan
P. Gader
ArXiv (abs)PDFHTML

Papers citing "A Gaussian mixture model representation of endmember variability in hyperspectral unmixing"

5 / 5 papers shown
Title
Learning Interpretable Deep Disentangled Neural Networks for
  Hyperspectral Unmixing
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing
R. Borsoi
Deniz Erdoğmuş
Tales Imbiriba
72
6
0
03 Oct 2023
Best-scored Random Forest Density Estimation
Best-scored Random Forest Density Estimation
H. Hang
Hongwei Wen
17
1
0
09 May 2019
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing
  With Multinomial Mixture Kernel and Endmember Uncertainty
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
Hyperspectral unmixing with spectral variability using adaptive bundles
  and double sparsity
Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
Tatsumi Uezato
M. Fauvel
N. Dobigeon
60
46
0
30 Apr 2018
Unmixing urban hyperspectral imagery with a Gaussian mixture model on
  endmember variability
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
1