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Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral
  Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction

Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction

21 September 2020
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Jian Xu
Xiaoxiang Zhu
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction"

16 / 16 papers shown
Title
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
967
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
48
1,114
0
06 Aug 2020
Spectral Superresolution of Multispectral Imagery with Joint Sparse and
  Low-Rank Learning
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
Lianru Gao
Danfeng Hong
Jing Yao
Bing Zhang
Paolo Gamba
Jocelyn Chanussot
86
127
0
28 Jul 2020
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
71
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
99
4
0
05 Mar 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
60
233
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
49
54
0
18 Dec 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
57
106
0
27 May 2019
Optimal Clustering Framework for Hyperspectral Band Selection
Optimal Clustering Framework for Hyperspectral Band Selection
Qi. Wang
Fahong Zhang
Xuelong Li
33
292
0
30 Apr 2019
Cascaded Recurrent Neural Networks for Hyperspectral Image
  Classification
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
Renlong Hang
Qingshan Liu
Danfeng Hong
Pedram Ghamisi
39
632
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
47
187
0
23 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
51
216
0
09 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
60
195
0
30 Dec 2018
Dimensionality Reduction of Hyperspectral Imagery Based on
  Spatial-spectral Manifold Learning
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning
Hong Huang
Guangyao Shi
Haibo He
Yule Duan
Fulin Luo
47
120
0
22 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
713
0
29 Oct 2018
Joint & Progressive Learning from High-Dimensional Data for Multi-Label
  Classification
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification
Danfeng Hong
Naoto Yokoya
Jian Xu
Xiaoxiang Zhu
41
42
0
15 Aug 2018
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