Related references
Note: Only part of the references are listed.HybridSN: Exploring 3-D-2-D CNN Feature Hierarchy for Hyperspectral Image Classification
Swalpa Kumar Roy et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
Rui Li et al.
REMOTE SENSING (2020)
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Sheng Wan et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation
Hongjun Su et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Content-Guided Convolutional Neural Network for Hyperspectral Image Classification
Qichao Liu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification
Anyong Qin et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)
Kernel Collaborative Representation With Local Correlation Features for Hyperspectral Image Classification
Hongjun Su et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Spectral-Spatial Attention Networks for Hyperspectral Image Classification
Xiaoguang Mei et al.
REMOTE SENSING (2019)
A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification With Classwise Loss
Siyuan Hao et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Two-Stream Deep Architecture for Hyperspectral Image Classification
Siyuan Hao 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)
Multifeature Dictionary Learning for Collaborative Representation Classification of Hyperspectral Imagery
Hongjun Su et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification
Wenju Wang et al.
REMOTE SENSING (2018)
Classification of Hyperspectral Data Using a Multi-Channel Convolutional Neural Network
Chen Chen et al.
INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2018, PT III (2018)
Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification
Jingxiang Yang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
From Subpixel to Superpixel: A Novel Fusion Framework for Hyperspectral Image Classification
Ting Lu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification
Weiwei Sun 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)
Mastering the game of Go without human knowledge
David Silver et al.
NATURE (2017)
Spectral-Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network
Ying Li et al.
REMOTE SENSING (2017)
Advanced Spectral Classifiers for Hyperspectral Images A review
Pedram Ghamisi et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
Deformable Convolutional Networks
Jifeng Dai et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images
Chen Xing et al.
JOURNAL OF SENSORS (2016)
Multiple Kernel Learning via Low-Rank Nonnegative Matrix Factorization for Classification of Hyperspectral Imagery
Yanfeng Gu et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)
Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification
Li Ma et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
Spectral-Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative Sparse Model
Leyuan Fang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
SEEDS: Superpixels Extracted Via Energy-Driven Sampling
Michael Van den Bergh et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification
Bor-Chen Kuo et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Deep Learning-Based Classification of Hyperspectral Data
Yushi Chen et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Manifold-Based Sparse Representation for Hyperspectral Image Classification
Yuan Yan Tang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)
Medical hyperspectral imaging: a review
Guolan Lu et al.
JOURNAL OF BIOMEDICAL OPTICS (2014)
Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine
Chen Chen et al.
REMOTE SENSING (2014)
The Emerging Field of Signal Processing on Graphs
David I. Shuman et al.
IEEE SIGNAL PROCESSING MAGAZINE (2013)
Hyperspectral Image Classification via Kernel Sparse Representation
Yi Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2013)
Representative Multiple Kernel Learning for Classification in Hyperspectral Imagery
Yanfeng Gu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Radhakrishna Achanta et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
Hyperspectral Image Classification Using Dictionary-Based Sparse Representation
Yi Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2011)
A review of hyperspectral remote sensing and its application in vegetation and water resource studies
M Govender et al.
WATER SA (2011)
Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning
Jun Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2010)
A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment
Azadeh Ghiyamat et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2010)
Segmentation and classification of hyperspectral images using watershed transformation
Y. Tarabalka et al.
PATTERN RECOGNITION (2010)
Semi-supervised graph-based hyperspectral image classification
Gustavo Camps-Valls et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2007)
Efficient graph-based image segmentation
PF Felzenszwalb et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2004)
A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles
A Plaza et al.
PATTERN RECOGNITION (2004)
Share Paper
