Year  Title  Author 
2017

Progressively Expanded Neural Network for Automatic Material Identification in Hyperspectral Imagery 
S Paheding

2017

Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification 
V Singhal, HK Aggarwal, S Tariyal, A Majumdar

2017

Superpixelbased 3D Deep Neural Networks for Hyperspectral Image Classification 
C Shi, CM Pun

2017

Deep learningbased classification for head and neck cancer detection with hyperspectral imaging in an animal model 
L Ma, G Lu, D Wang, X Wang, ZG Chen, S Muller

2017

Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery 
W Li, G Wu, Q Du

2017

Nondestructive Freshness Discriminating of Shrimp Using Visible/NearInfrared Hyperspectral Imaging Technique and Deep Learning Algorithm 
X Yu, L Tang, X Wu, H Lu

2017

Encoding Spectral and Spatial Context Information for Hyperspectral Image Classification 
X Sun, F Zhou, J Dong, F Gao, Q Mu, X Wang

2017

Deep Recurrent Neural Networks for Hyperspectral Image Classification 
L Mou, P Ghamisi, XX Zhu

2017

Semisupervised Deep Learning using Pseudo Labels for Hyperspectral Image Classification 
H Wu, S Prasad

2017

Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation 
FI Alam, J Zhou, AWC Liew, X Jia, J Chanussot, Y Gao

2017

Generative Adversarial NetworksBased SemiSupervised Learning for Hyperspectral Image Classification 
Z He, H Liu, Y Wang, J Hu

2017

Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks 
N Bayramoglu, M Kaakinen, L Eklund, J Heikkila

2017

Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps 
K Nagasubramanian, S Jones, AK Singh, A Singh

2017

Hyperspectral image classification using deep convolutional neural networks 
Z Zhong, J Li

2017

A comparison on multiple level features for fusion hyperspectral and LiDAR data 
W Liao, A Pizurica, R Luo, W Philips

2017

GMMBased Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data 
AA Davari, E Aptoula, B Yanikoglu, A Maier, C Riess

2017

Dimensionality Reduction for Hyperspectral Data Based on SampleDependent Repulsion Graph Regularized Autoencoder 
X WANG, Y KONG, Y CHENG

2017

Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network 
X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley

2017

Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging 
M Halicek, G Lu, JV Little, X Wang, M Patel, CC Griffith

2017

The Classification of Hyperspectral Images Based on BandGrouping and Convolutional Neural Network 
G Fu, H Gu

2017

Local receptive field constrained stacked sparse autoencoder for classification of hyperspectral images 
X Wan, C Zhao

2017

3D multiresolution wavelet convolutional neural networks for hyperspectral image classification 
C Shi, CM Pun

2017

Hyperspectral anomaly detection based on stacked denoising autoencoders 
C Zhao, X Li, H Zhu

2017

EXhype: A tool for mineral classification using hyperspectral data 
RN Adep, H Ramesh

2017

Hyperspectral image analysis using deep learning—A review 
H Petersson, D Gustafsson, D Bergstrom

2017

A Band Grouping Based LSTM Algorithm for Hyperspectral Image Classification 
Y Xu, B Du, L Zhang, F Zhang

2017

Hyperspectral classification based on spectral–spatial convolutional neural networks 
C Chen, F Jiang, C Yang, S Rho, W Shen, S Liu, Z Liu

2017

Supervised nonnegative tensor factorization for automatic hyperspectral feature extraction and target discrimination 
D Anderson, A Bapst, J Coon, A Pung, M Kudenov

2017

Hyperspectral imagebased spare autoencoder network for TVBN measurement in pork 
T Guo, M Huang, Q Zhu, Y Guo

2017

Going Deeper with Contextual CNN for Hyperspectral Image Classification 
H Lee, H Kwon

2017

Spectral–spatial feature learning for hyperspectral imagery classification using deep stacked sparse autoencoder 
G Abdi, F Samadzadegan, P Reinartz

2017

MugNet: Deep learning for hyperspectral image classification using limited samples 
B Pan, Z Shi, X Xu

2017

Learning and Transferring Deep Joint SpectralSpatial Features for Hyperspectral Classification 
J Yang, YQ Zhao, JCW Chan

2017

Spectral–spatial classification of hyperspectral images using trilateral filter and stacked sparse autoencoder 
C Zhao, X Wan, G Zhao, Y Yan

2017

GCN: GPUBased Cube CNN Framework for Hyperspectral Image Classification 
H Dong, T Li, J Leng, L Kong, G Bai

2017

Deep Fully Convolutional NetworkBased Spatial Distribution Prediction for Hyperspectral Image Classification 
L Jiao, M Liang, H Chen, S Yang, H Liu, X Cao

2017

Deep Learning on Hyperspectral Data for Land Use and Vegetation Mapping 
N Audebert, B Le Saux, S Lefevere, C Taillandier

2017

A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features 
L Ran, Y Zhang, W Wei, Q Zhang

2017

A BandWeighted Support Vector Machine Method for Hyperspectral Imagery Classification 
W Sun, C Liu, Y Xu, L Tian, W Li

2017

A new deep convolutional neural network for fast hyperspectral image classification 
ME Paoletti, JM Haut, J Plaza, A Plaza

2017

A Hybrid DBN and CRF Model for SpectralSpatial Classification of Hyperspectral Images 
P Zhong, Z Gong

2017

Advanced Spectral Classifiers for Hyperspectral Images: A review 
P Ghamisi, J Plaza, Y Chen, J Li, AJ Plaza

2017

Hyperspectral Image Enhancement and Mixture DeepLearning Classification of Corneal Epithelium Injuries 
SSM Noor, K Michael, S Marshall, J Ren

2017

TensorBased Classifiers for Hyperspectral Data Analysis 
K Makantasis, A Doulamis, N Doulamis, A Nikitakis

2017

Deeplearningbased regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape (Brassica napus L.) leaf 
X Yu, H Lu, Q Liu

2017

Hyperspectral Data Feature Extraction Using Deep Belief Network. 
J Xinhua, X Heru, Z Lina, Z Yanqing

2017

OneDimensional Convolutional Neural Network LandCover Classification of MultiSeasonal Hyperspectral Imagery in the San Francisco Bay Area, California 
D Guidici, ML Clark

2017

Application of Deep Belief Network to Land Cover Classification Using Hyperspectral Images 
B Ayhan, C Kwan

2017

Multiscale SuperpixelBased Sparse Representation for Hyperspectral Image Classification 
S Zhang, S Li, W Fu, L Fang

2017

CNNBased Identification of Hyperspectral Bacterial Signatures for Digital Microbiology 
G Turra, S Arrigoni, A Signoroni

2017

Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification 
P Zhong, Z Gong, S Li, CB Schönlieb

2017

Deep Residual Networks for Hyperspectral Image Classification 
Z Zhong, J Li, L Ma, H Jiang, H Zhao

2017

A PhysicsBased Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images 
L Windrim, R Ramakrishnan, A Melkumyan, RJ Murphy

2017

SpectralSpatial Residual Network for Hyperspectral Image Classification: A 3D Deep Learning Framework 
Z Zhong, J Li, Z Luo, M Chapman

2017

SpatialSpectral Unsupervised Convolutional Sparse AutoEncoder Classifier for Hyperspectral Imagery 
X Han, Y Zhong, L Zhang

2017

Hyperspectral image feature extraction method based on sparse constraint convolutional neural network 
P Jia, M Zhang, W Yu, Y Shen

2017

SpectralSpatial Response for Hyperspectral Image Classiﬁcation 
Y Wei, Y Zhou, H Li

2017

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network 
Y Li, H Zhang, Q Shen

2017

Multiple Kernel Learning for Hyperspectral Image Classification: A Review 
Y Gu, J Chanussot, X Jia, JA Benediktsson

2017

Classification of Hyperspectral Images by Gabor Filtering Based Deep Network 
X Kang, C Li, S Li, H Lin

2017

The Deep Belief and SelfOrganizing Neural Network as a SemiSupervised Classification Method for Hyperspectral Data 
W Lan, Q Li, N Yu, Q Wang, S Jia, K Li

2017

Supervised Deep Feature Extraction for Hyperspectral Image Classification 
B Liu, X Yu, P Zhang, A Yu, Q Fu, X Wei

2017

Hyperspectral image superresolution using deep convolutional neural network 
Y Li, J Hu, X Zhao, W Xie, JJ Li

2016

Deep Learning for Hyperspectral Data Classification through Exponential Momentum Deep Convolution Neural Networks 
Q Yue, C Ma

2016

Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network 
P Ghamisi, B Höfle, XX Zhu

2016

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks 
Y Chen, H Jiang, C Li, X Jia, P Ghamisi

2016

Deep subspace mapping in hyperspectral imaging 
N Wadströmer, D Gustafsson, H Perersson

2016

NonLinear Hyperspectral Subspace Mapping using Stacked AutoEncoder 
N Niclas, D Gustafsson

2016

NonLinear Hyperspectral Subspace Mapping using Stacked Autoencoder 
N Wadströmer, D Gustafsson

2016

Hyperspectral image reconstruction by deep convolutional neural network for classification 
Y Li, W Xie, H Li

2016

Semisupervised classification for hyperspectral image based on multidecision labeling and deep feature learning 
X Ma, H Wang, J Wang

2016

Convolutional Neural Network Classification of Hyperspectral Imagery in the San Francisco Bay Area, California 
D Giudici

2016

Deep Learning With Attribute Profiles for Hyperspectral Image Classification 
E Aptoula, MC Ozdemir, B Yanikoglu

2016

Contextual Deep CNN Based Hyperspectral Classification 
H Lee, H Kwon

2016

Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features 
H Liang, Q Li

2016

A deep learning framework for hyperspectral image classification using spatial pyramid pooling 
J Yue, S Mao, M Li

2016

Spectral–spatial multifeaturebased deep learning for hyperspectral remote sensing image classification 
L Wang, J Zhang, P Liu, KKR Choo, F Huang

2016

Ideal Regularized Composite Kernel for Hyperspectral Image Classification 
J Peng, H Chen, Y Zhou, L Li

2016

BASS Net: BandAdaptive SpectralSpatial Feature Learning Neural Network for Hyperspectral Image Classification 
A Santara, K Mani, P Hatwar, A Singh, A Garg, K Padia

2016

Semisupervised classification of hyperspectral imagery based on stacked autoencoders 
Q Fu, X Yu, X Wei, Z Xue

2016

Active Deep Learning for Classification of Hyperspectral Images 
P Liu, H Zhang, KB Eom

2016

Sparse recovery techniques for hyperspectral imaging 
HK Aggarwal, A Majumdar

2016

Deep Learning With Grouped Features for Spatial Spectral Classification of Hyperspectral Images 
X Zhou, S Li, F Tang, K Qin, S Hu, S Liu

2016

Unsupervised spectral subfeature learning for hyperspectral image classification 
V Slavkovikj, S Verstockt, W De Neve, S Van Hoecke

2016

Hyperspectral image classification based on deep stacking network 
M He, X Li, Y Zhang, J Zhang, W Wang

2016

Deep Convolutional networks with superpixel segmentation for hyperspectral image classification 
J Cao, Z Chen, B Wang

2016

Graphbased deep Convolutional networks for Hyperspectral image classification 
J Cao, Z Chen, B Wang

2016

Convolutional neural network based classification for hyperspectral data 
P Jia, M Zhang, W Yu, F Shen, Y Shen

2016

Spectral–Spatial Classification of Hyperspectral Image Based on Deep AutoEncoder 
X Ma, H Wang, J Geng

2016

a Diversified Deep Belief Network for Hyperspectral Image Classification 
P Zhong, ZQ Gong, C Schönlieb

2016

Parallel multilayer perceptron neural network used for hyperspectral image classification 
BP Garcia

2016

Convolutional Neural Networks for Hyperspectral Image Classification 
S Yu, S Jia, C Xu

2016

Tensor BlockSparsity Based Representation for SpectralSpatial Hyperspectral Image Classification 
Z He, J Li, L Liu

2016

Deep learning concept for hyperspectral imagery classification 
SA Stankevich, IA Piestova, VN Podorvan

2016

Advanced Supervised Spectral Classifiers for Hyperspectral Images: A Review 
P Ghamisi, J Plaza, Y Chen, J Li, A Plaza

2015

Learning Hierarchical SpectralSpatial Features for Hyperspectral Image Classification 
Y Zhou, Y Wei

2015

Latent subclass learningbased unsupervised ensemble feature extraction method for hyperspectral image classification 
W Wei, Y Zhang, C Tian

2015

Stacked denoise autoencoder based feature extraction and classification for hyperspectral images 
C Xing, L Ma, X Yang

2015

On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery 
W Zhao, Z Guo, J Yue, X Zhang, L Luo

2015

Novel Segmented Stacked AutoEncoder for Effective Dimensionality Reduction and Feature Extraction in Hyperspectral Imaging 
J Zabalza, J Ren, J Zheng, H Zhao, C Qing, Z Yang

2015

A Deep Belief Network for Classifying RemotelySensed Hyperspectral Data 
JH Le, AP Yazdanpanah, EE Regentova

2015

Deep Convolutional Neural Networks for Hyperspectral Image Classification 
W Hu, Y Huang, W Li, F Zhang, H Li

2015

Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network 
Y Chen, X Zhao, X Jia

2015

Hyperspectral Image Classification with Convolutional Neural Networks 
V Slavkovikj, S Verstockt, W De Neve, S Van Hoecke

2015

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks 
J Yue, W Zhao, S Mao, H Liu

2015

Hyperspectral classification via deep networks and superpixel segmentation 
Y Liu, G Cao, Q Sun, M Siegel

2015

Deep LearningBased ManMade Object Detection from Hyperspectral Data 
K Makantasis, K Karantzalos, A Doulamis, K Loupos

2015

Learning Deep Dictionary for Hyperspectral Image Denoising 
HUO Leigang, F Xiangchu, HUO Chunlei

2015

Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions 
D Tuia, R Flamary, N Courty

2015

Efficient Multitemporal hyperspectral signatures classification using a GaussianBernoulli RBM based approach 
S Hemissi, IR Farah

2015

Hierarchical Feature Learning With Dropout KMeans for Hyperspectral Image Classification 
F Zhang, B Du, L Zhang, L Zhang

2014

Deep Model for Classification of Hyperspectral image using Restricted Boltzmann Machine 
ME Midhun, SR Nair, VT Prabhakar, SS Kumar
