Related references
Note: Only part of the references are listed.Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification
Bobo Xi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)
A Fast and Compact 3-D CNN for Hyperspectral Image Classification
Muhammad Ahmad et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)
Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification
Yao Ding et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Multiview Spatial-Spectral Active Learning for Hyperspectral Image Classification
Meng Xu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Optical Remote Sensing Image Understanding with Weak Supervision Concepts, Methods, and Perspectives
Jun Yue et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2022)
Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification
Zhuoqun Fang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
FSL-EGNN: Edge-Labeling Graph Neural Network for Hyperspectral Image Few-Shot Classification
Xibing Zuo et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Optical Remote Sensing Image Understanding With Weak Supervision
Jun Yue et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2022)
Deep proximal support vector machine classifiers for hyperspectral images classification
Ganesan Kalaiarasi et al.
NEURAL COMPUTING & APPLICATIONS (2021)
Attention-Based Adaptive SpectralSpatial Kernel ResNet for Hyperspectral Image Classification
Swalpa Kumar Roy et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
Shengjie Liu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification
Junjie Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
Probabilistic Embeddings for Cross-Modal Retrieval
Sanghyuk Chun et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)
Spectral-Spatial Attention Feature Extraction for Hyperspectral Image Classification Based on Generative Adversarial Network
Hongbo Liang et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)
The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials
Pedram Ghamisi et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)
Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples
Bei Fang et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training
Yue Wu et al.
REMOTE SENSING (2020)
Deep Relation Network for Hyperspectral Image Few-Shot Classification
Kuiliang Gao et al.
REMOTE SENSING (2020)
Lightweight Spectral-Spatial Squeeze-and-Excitation Residual Bag-of-Features Learning for Hyperspectral Classification
Swalpa Kumar Roy et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification
Zilong Zhong et al.
IEEE TRANSACTIONS ON CYBERNETICS (2020)
Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox
Behnood Rasti et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2020)
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification
Cheng Deng et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Multisource and Multitemporal Data Fusion in Remote Sensing A comprehensive review of the state of the art
Pedram Ghamisi et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2019)
3-D Convolution-Recurrent Networks for Spectral-Spatial Classification of Hyperspectral Images
Majid Seydgar et al.
REMOTE SENSING (2019)
Semisupervised Stacked Autoencoder With Cotraining for Hyperspectral Image Classification
Shaoguang Zhou et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification
Peicheng Zhou et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Satellite-based vegetation optical depth as an indicator of drought-driven tree mortality
Krishna Rao et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
Haokui Zhang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Classification of Hyperspectral Images Based on Multiclass Spatial-Spectral Generative Adversarial Networks
Jie Feng et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Juan Mario Haut et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)
Hyperspectral Image Classification Based on Two-Phase Relation Learning Network
Xiaorui Ma et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Semi-supervised deep learning for hyperspectral image classification
Xudong Kang et al.
REMOTE SENSING LETTERS (2019)
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
Jiwoong Choi et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Probabilistic Face Embeddings
Yichun Shi et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks
Ying Zhan et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
Classification of Hyperspectral Images by Gabor Filtering Based Deep Network
Xudong Kang et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)
Generative Adversarial Networks for Hyperspectral Image Classification
Lin Zhu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
Zilong Zhong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification
Hao Wu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Clustering Millions of Faces by Identity
Charles Otto et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Structure Preserving Transfer Learning for Unsupervised Hyperspectral Image Classification
Jianzhe Lin et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Cost-Effective Active Learning for Deep Image Classification
Keze Wang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2017)
Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification
Jingxiang Yang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Self-Taught Feature Learning for Hyperspectral Image Classification
Ronald Kemker et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Hyperspectral Image Classification Using Deep Pixel-Pair Features
Wei Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Deep Recurrent Neural Networks for Hyperspectral Image Classification
Lichao Mou et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Ground-based hyperspectral analysis of the urban nightscape
Ramon Alamus et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)
Convolutional Recurrent Neural Networks for Hyperspectral Data Classification
Hao Wu et al.
REMOTE SENSING (2017)
Advances in Hyperspectral Image and Signal Processing A comprehensive overview of the state of the art
Pedram Ghamisi et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Hyperspectral Feature Extraction Using Total Variation Component Analysis
Behnood Rasti et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Yushi Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest
Christian Debes et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Spatial-Spectral Classification of Hyperspectral Images Using Discriminative Dictionary Designed by Learning Vector Quantization
Zhaowen Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)
Investigation of the random forest framework for classification of hyperspectral data
J Ham et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)