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Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning
  Framework for Self-Supervised Hyperspectral Unmixing

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing

21 May 2021
Danfeng Hong
Lianru Gao
Jing Yao
Naoto Yokoya
Jocelyn Chanussot
U. Heiden
Bing Zhang
ArXivPDFHTML

Papers citing "Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing"

11 / 11 papers shown
Title
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
106
27
0
17 Jun 2024
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing
  Imagery Classification
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification
Danfeng Hong
Lianru Gao
Naoto Yokoya
Jing Yao
Jocelyn Chanussot
Q. Du
Bing Zhang
73
966
0
12 Aug 2020
Graph Convolutional Networks for Hyperspectral Image Classification
Graph Convolutional Networks for Hyperspectral Image Classification
Danfeng Hong
Lianru Gao
Jing Yao
Bing Zhang
Antonio J. Plaza
Jocelyn Chanussot
40
1,112
0
06 Aug 2020
Cascaded Recurrent Neural Networks for Hyperspectral Image
  Classification
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
Renlong Hang
Qingshan Liu
Danfeng Hong
Pedram Ghamisi
35
631
0
28 Feb 2019
ORSIm Detector: A Novel Object Detection Framework in Optical Remote
  Sensing Imagery Using Spatial-Frequency Channel Features
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features
Xin Wu
Danfeng Hong
Jiaojiao Tian
Jocelyn Chanussot
Wei Li
R. Tao
ObjD
42
187
0
23 Jan 2019
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral
  Correspondences
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Xiaoxiang Zhu
46
195
0
30 Dec 2018
An Augmented Linear Mixing Model to Address Spectral Variability for
  Hyperspectral Unmixing
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Xiaoxiang Zhu
39
712
0
29 Oct 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
40
46
0
30 Apr 2018
Semiblind Hyperspectral Unmixing in the Presence of Spectral Library
  Mismatches
Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches
Xiao Fu
Wing-Kin Ma
J. Bioucas-Dias
Tsung-Han Chan
42
92
0
07 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
448
43,277
0
11 Feb 2015
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
82
2,572
0
28 Feb 2012
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