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Coupled Convolutional Neural Network with Adaptive Response Function
  Learning for Unsupervised Hyperspectral Super-Resolution

Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution

28 July 2020
Ke-xin Zheng
Lianru Gao
Wenzhi Liao
Danfeng Hong
Bing Zhang
X. Cui
Jocelyn Chanussot
ArXivPDFHTML

Papers citing "Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution"

19 / 19 papers shown
Title
Learning Convolutional Sparse Coding on Complex Domain for
  Interferometric Phase Restoration
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Jian Kang
Danfeng Hong
Jialin Liu
Gerald Baier
Naoto Yokoya
Begüm Demir
54
51
0
06 Mar 2020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow
  to Deep (Overview and Toolbox)
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)
Behnood Rasti
Danfeng Hong
Renlong Hang
Pedram Ghamisi
Xudong Kang
Jocelyn Chanussot
J. Benediktsson
86
405
0
05 Mar 2020
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
Renlong Hang
Zhu Li
Pedram Ghamisi
Danfeng Hong
Guiyu Xia
Qingshan Liu
33
267
0
04 Feb 2020
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature
  Extractor for Hyperspectral Image Classification
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Danfeng Hong
Xin Wu
Pedram Ghamisi
Jocelyn Chanussot
Naoto Yokoya
Xiaoxiang Zhu
40
232
0
18 Dec 2019
Learning Shared Cross-modality Representation Using Multispectral-LiDAR
  and Hyperspectral Data
Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data
Danfeng Hong
Jocelyn Chanussot
Naoto Yokoya
Jian Kang
Xiaoxiang Zhu
29
53
0
18 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
235
42,038
0
03 Dec 2019
MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of
  Optical Image and Polarimetric SAR Data
MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data
Jingliang Hu
Danfeng Hong
Xiaoxiang Zhu
26
63
0
13 Jun 2019
Fourier-based Rotation-invariant Feature Boosting: An Efficient
  Framework for Geospatial Object Detection
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection
Xin Wu
Danfeng Hong
Jocelyn Chanussot
Yang Xu
R. Tao
Yue Wang
ObjD
35
106
0
27 May 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
27
187
0
23 Jan 2019
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Qi Xie
Minghao Zhou
Qian Zhao
Deyu Meng
W. Zuo
Zongben Xu
35
215
0
10 Jan 2019
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality
  Learning Framework for Land Cover and Land Use Classification
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification
Danfeng Hong
Naoto Yokoya
N. Ge
Jocelyn Chanussot
Xiaoxiang Zhu
40
215
0
09 Jan 2019
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
26
708
0
29 Oct 2018
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image
  Super-Resolution
Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
Ying Qu
Hairong Qi
C. Kwan
SupR
30
206
0
13 Apr 2018
Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional
  Neural Network
Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network
Frosti Palsson
J. Sveinsson
M. Ulfarsson
13
273
0
16 Jun 2017
Hyperspectral pansharpening: a review
Hyperspectral pansharpening: a review
Laetitia Loncan
L. Almeida
J. Bioucas-Dias
X. Briottet
Jocelyn Chanussot
...
J. Tourneret
M. Veganzones
Gemine Vivone
Qi Wei
Naoto Yokoya
42
700
0
17 Apr 2015
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation
Qi Wei
N. Dobigeon
J. Tourneret
27
410
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
776
149,474
0
22 Dec 2014
A convex formulation for hyperspectral image superresolution via
  subspace-based regularization
A convex formulation for hyperspectral image superresolution via subspace-based regularization
M. Simões
J. Bioucas-Dias
L. Almeida
Jocelyn Chanussot
63
653
0
14 Nov 2014
Hyperspectral and Multispectral Image Fusion based on a Sparse
  Representation
Hyperspectral and Multispectral Image Fusion based on a Sparse Representation
Qi Wei
J. Bioucas-Dias
N. Dobigeon
J. Tourneret
50
524
0
19 Sep 2014
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