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. 1712.01770
  4. Cited By
Tech Report: A Fast Multiscale Spatial Regularization for Sparse
  Hyperspectral Unmixing

Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing

5 December 2017
R. Borsoi
Tales Imbiriba
J. Bermudez
C. Richard
ArXivPDFHTML

Papers citing "Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing"

5 / 5 papers shown
Title
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to
  Hyperspectral Image Analysis
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
Luciano C. Ayres
Sérgio J. M. de Almeida
José C. M. Bermudez
R. Borsoi
31
0
0
22 Jul 2024
Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
Ge Zhang
Shaohui Mei
Mingyang Ma
Yan Feng
Q. Du
20
32
0
19 Oct 2021
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral
  Unmixing
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing
Haoqing Li
R. Borsoi
Tales Imbiriba
Pau Closas
J. Bermudez
Deniz Erdoğmuş
32
32
0
17 Apr 2021
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
Tales Imbiriba
R. Borsoi
J. Bermudez
20
23
0
16 Mar 2018
Super-Resolution Reconstruction of Electrical Impedance Tomography
  Images
Super-Resolution Reconstruction of Electrical Impedance Tomography Images
R. Borsoi
J. Aya
G. H. Costa
J. Bermudez
SupR
27
26
0
30 Dec 2016
1