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Hyperspectral Image Classification-Traditional to Deep Models: A Survey
  for Future Prospects

Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects

15 January 2021
Muhammad Ahmad
Sidrah Shabbir
Swalpa Kumar Roy
Danfeng Hong
Xin Wu
Jing Yao
A. Khan
Manuel Mazzara
Salvatore Distefano
Jocelyn Chanussot
ArXivPDFHTML

Papers citing "Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects"

50 / 52 papers shown
Title
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
Yapeng Li
Yong Luo
Lefei Zhang
Zengmao Wang
Bo Du
Mamba
76
65
0
10 Jan 2025
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
Andrea Dosi
Massimo Brescia
S. Cavuoti
Mariarca DÁniello
M. D. Veneri
...
Adriano Ettari
Giuseppe Longo
Alvi Rownok
Luca Sannino
Maria Zampella
45
1
0
14 Sep 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
257
30,123
0
01 Mar 2022
A Survey: Deep Learning for Hyperspectral Image Classification with Few
  Labeled Samples
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia
Shuguo Jiang
Zhijie Lin
Nanying Li
Meng Xu
Shiqi Yu
VLM
63
278
0
03 Dec 2021
SpectralFormer: Rethinking Hyperspectral Image Classification with
  Transformers
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
Danfeng Hong
Zhu Han
Jing Yao
Lianru Gao
Bing Zhang
Antonio J. Plaza
Jocelyn Chanussot
ViT
60
897
0
07 Jul 2021
FCCDN: Feature Constraint Network for VHR Image Change Detection
FCCDN: Feature Constraint Network for VHR Image Change Detection
Pan Chen
Danfeng Hong
Zhengchao Chen
Xuan S. Yang
Baipeng Li
Bing Zhang
64
151
0
23 May 2021
AngularGrad: A New Optimization Technique for Angular Convergence of
  Convolutional Neural Networks
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
S. K. Roy
Mercedes Eugenia Paoletti
J. Haut
S. Dubey
Purushottam Kar
A. Plaza
B. B. Chaudhuri
ODL
51
18
0
21 May 2021
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer
  Learning
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
Haokui Zhang
Ying Li
Yenan Jiang
Peng Wang
Qiang Shen
Chunhua Shen
37
170
0
07 Dec 2020
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
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Jian Xu
Xiaoxiang Zhu
28
81
0
21 Sep 2020
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
40
1,112
0
06 Aug 2020
Gradient Centralization: A New Optimization Technique for Deep Neural
  Networks
Gradient Centralization: A New Optimization Technique for Deep Neural Networks
Hongwei Yong
Jianqiang Huang
Xiansheng Hua
Lei Zhang
ODL
54
186
0
03 Apr 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
92
153
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
55
233
0
18 Dec 2019
Deep Learning for Hyperspectral Image Classification: An Overview
Deep Learning for Hyperspectral Image Classification: An Overview
Shutao Li
Weiwei Song
Leyuan Fang
Yushi Chen
Pedram Ghamisi
J. Benediktsson
53
1,259
0
26 Oct 2019
Hyperspectral Image Classification With Context-Aware Dynamic Graph
  Convolutional Network
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network
Sheng Wan
Chen Gong
P. Zhong
Shirui Pan
Guangyu Li
Jian Yang
62
147
0
26 Sep 2019
diffGrad: An Optimization Method for Convolutional Neural Networks
diffGrad: An Optimization Method for Convolutional Neural Networks
S. Dubey
Soumendu Chakraborty
Swalpa Kumar Roy
Snehasis Mukherjee
S. Singh
B. B. Chaudhuri
ODL
119
187
0
12 Sep 2019
On the Variance of the Adaptive Learning Rate and Beyond
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
Jiawei Han
ODL
280
1,904
0
08 Aug 2019
Band Attention Convolutional Networks For Hyperspectral Image
  Classification
Band Attention Convolutional Networks For Hyperspectral Image Classification
Hongwei Dong
Lamei Zhang
B. Zou
18
24
0
11 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
52
106
0
27 May 2019
Generative Adversarial Networks and Conditional Random Fields for
  Hyperspectral Image Classification
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification
Zilong Zhong
Jonathan Li
David A Clausi
A. Wong
GAN
30
109
0
12 May 2019
Active Multi-Kernel Domain Adaptation for Hyperspectral Image
  Classification
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
Cheng Deng
Xianglong Liu
Chao Li
Dacheng Tao
35
139
0
10 Apr 2019
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial
  Feature Learning Model For Hyperspectral Image Classification
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification
Cheng Deng
Yumeng Xue
Xianglong Liu
Chao Li
Dacheng Tao
45
145
0
04 Apr 2019
Hyperspectral Data Augmentation
Hyperspectral Data Augmentation
J. Nalepa
Michal Myller
M. Kawulok
34
20
0
13 Mar 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
35
631
0
28 Feb 2019
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image
  Classification
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
Swalpa Kumar Roy
G. Krishna
S. Dubey
B. B. Chaudhuri
92
1,116
0
18 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
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
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation
  Function for Neural Networks
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks
Swalpa Kumar Roy
Suvojit Manna
S. Dubey
B. B. Chaudhuri
39
50
0
01 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
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image
  Classification
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification
Haowen Luo
31
24
0
30 Oct 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
Three dimensional Deep Learning approach for remote sensing image
  classification
Three dimensional Deep Learning approach for remote sensing image classification
A. Ben Hamida
A. Benoît
P. Lambert
C. Ben Amar
79
583
0
15 Jun 2018
Spectral-spatial classification of hyperspectral images: three tricks
  and a new supervised learning setting
Spectral-spatial classification of hyperspectral images: three tricks and a new supervised learning setting
Jacopo Acquarelli
Elena Marchiori
Lutgarde M. C. Buydens
Thanh Tran
Twan van Laarhoven
27
42
0
15 Nov 2017
Deep learning in remote sensing: a review
Deep learning in remote sensing: a review
Xiaoxiang Zhu
D. Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
74
1,611
0
11 Oct 2017
Segmented and Non-Segmented Stacked Denoising Autoencoder for
  Hyperspectral Band Reduction
Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction
Muhammad Ahmad
A. Khan
Manuel Mazzara
Rasheed Hussain
47
35
0
19 May 2017
Hyperspectral Image Classification with Markov Random Fields and a
  Convolutional Neural Network
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network
Xiangyong Cao
Feng Zhou
Lin Xu
Deyu Meng
Zongben Xu
J. Paisley
30
252
0
01 May 2017
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning
  for Hyperspectral Image Classification
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
Qingshan Liu
F. Zhou
Renlong Hang
Xiaotong Yuan
59
259
0
23 Mar 2017
Remote Sensing Image Scene Classification: Benchmark and State of the
  Art
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Gong Cheng
Junwei Han
Xiaoqiang Lu
101
2,253
0
01 Mar 2017
Active Deep Learning for Classification of Hyperspectral Images
Active Deep Learning for Classification of Hyperspectral Images
Peng Liu
Hui Zhang
K. Eom
42
229
0
30 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
604
29,032
0
09 Sep 2016
A Deep Learning Approach to Unsupervised Ensemble Learning
A Deep Learning Approach to Unsupervised Ensemble Learning
Uri Shaham
Xiuyuan Cheng
Omer Dror
Ariel Jaffe
B. Nadler
Joseph T. Chang
Y. Kluger
UQCV
57
35
0
06 Feb 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
181
5,210
0
22 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
246
4,667
0
21 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
237
6,775
0
03 Sep 2014
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
291
6,274
0
16 Dec 2013
Advances in Hyperspectral Image Classification: Earth monitoring with
  statistical learning methods
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods
Gustavo Camps-Valls
D. Tuia
Lorenzo Bruzzone
J. Benediktsson
60
668
0
18 Oct 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
447
7,660
0
03 Jul 2012
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