Deep Learning Publication Navigator - subtopic: hyperspectral image


Year TitleAuthor
2017   Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification  V Singhal, HK Aggarwal, S Tariyal, A Majumdar
2017   Superpixel-based 3D Deep Neural Networks for Hyperspectral Image Classification  C Shi, CM Pun
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   Semi-supervised 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 Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification  Z He, H Liu, Y Wang, J Hu 
2017   Hyperspectral image classification using deep convolutional neural networks  Z Zhong, J Li 
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   3D multi-resolution wavelet convolutional neural networks for hyperspectral image classification  C Shi, CM Pun
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   Going Deeper with Contextual CNN for Hyperspectral Image Classification  H Lee, H Kwon
2017   MugNet: Deep learning for hyperspectral image classification using limited samples  B Pan, Z Shi, X Xu 
2017   GCN: GPU-Based Cube CNN Framework for Hyperspectral Image Classification  H Dong, T Li, J Leng, L Kong, G Bai
2017   Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification  L Jiao, M Liang, H Chen, S Yang, H Liu, X Cao
2017   A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features  L Ran, Y Zhang, W Wei, Q Zhang 
2017   A new deep convolutional neural network for fast hyperspectral image classification  ME Paoletti, JM Haut, J Plaza, A Plaza 
2017   Hyperspectral Image Enhancement and Mixture Deep-Learning Classification of Corneal Epithelium Injuries  SSM Noor, K Michael, S Marshall, J Ren 
2017   Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification  S Zhang, S Li, W Fu, L Fang
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   Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework  Z Zhong, J Li, Z Luo, M Chapman 
2017   Hyperspectral image feature extraction method based on sparse constraint convolutional neural network  P Jia, M Zhang, W Yu, Y Shen
2017   Spectral-Spatial Response for Hyperspectral Image Classification  Y Wei, Y Zhou, H Li
2017   Multiple Kernel Learning for Hyperspectral Image Classification: A Review  Y Gu, J Chanussot, X Jia, JA Benediktsson
2017   Supervised Deep Feature Extraction for Hyperspectral Image Classification  B Liu, X Yu, P Zhang, A Yu, Q Fu, X Wei 
2017   Hyperspectral image super-resolution using deep convolutional neural network  Y Li, J Hu, X Zhao, W Xie, JJ Li
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 multi-decision labeling and deep feature learning  X Ma, H Wang, J Wang
2016   Deep Learning With Attribute Profiles for Hyperspectral Image Classification  E Aptoula, MC Ozdemir, B Yanikoglu
2016   A deep learning framework for hyperspectral image classification using spatial pyramid pooling  J Yue, S Mao, M Li
2016   Ideal Regularized Composite Kernel for Hyperspectral Image Classification  J Peng, H Chen, Y Zhou, L Li
2016   BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification  A Santara, K Mani, P Hatwar, A Singh, A Garg, K Padia
2016   Unsupervised spectral sub-feature 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   Graph-based deep Convolutional networks for Hyperspectral image classification  J Cao, Z Chen, B Wang
2016   Spectral–Spatial Classification of Hyperspectral Image Based on Deep Auto-Encoder  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 Block-Sparsity Based Representation for Spectral-Spatial Hyperspectral Image Classification  Z He, J Li, L Liu
2015   Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification  Y Zhou, Y Wei
2015   Latent subclass learning-based unsupervised ensemble feature extraction method for hyperspectral image classification  W Wei, Y Zhang, C Tian
2015   Deep Convolutional Neural Networks for Hyperspectral Image Classification  W Hu, Y Huang, W Li, F Zhang, H Li
2015   Hyperspectral Image Classification with Convolutional Neural Networks  V Slavkovikj, S Verstockt, W De Neve, S Van Hoecke
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   Hierarchical Feature Learning With Dropout K-Means 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