ResearchTrend.AI
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

J. Bioucas-Dias
Antonio J. Plaza
N. Dobigeon
M. Parente
Q. Du
P. Gader
Jocelyn Chanussot
ArXivPDFHTML

Papers citing "Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches"

5 / 5 papers shown
Title
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
Xi Su
Xiangfei Shen
Mingyang Wan
Jing Nie
Lihui Chen
Haijun Liu
Xichuan Zhou
90
0
0
31 Dec 2024
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang
Meiqi Hu
Yao Jin
Yuchun Miao
Jiaqi Yang
...
Lefei Zhang
Chen Wu
Di Lin
Dacheng Tao
Liangpei Zhang
94
27
0
17 Jun 2024
Block Majorization Minimization with Extrapolation and Application to $β$-NMF
Block Majorization Minimization with Extrapolation and Application to ββ-NMF
L. Hien
Valentin Leplat
Nicolas Gillis
43
2
0
12 Jan 2024
Peanut Maturity Classification using Hyperspectral Imagery
Peanut Maturity Classification using Hyperspectral Imagery
Prem Seetharaman
Y. Tseng
Alina Zare
D. Rowland
Bryan Pardo
S. Yoon
24
33
0
20 Oct 2019
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
Pablo Sprechmann
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
Yonina C. Eldar
159
187
0
07 Jun 2010