NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification

Topology-Aware Graph Pooling Networks

(2021) Hongyang Gao et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification

(2021) Qiqi Zhu et al.   IEEE Transactions on Cybernetics

Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection

(2021) Yanni Dong et al.   IEEE Transactions on Cybernetics

Kernel-Based Machine Learning for Efficient Simulations of Molecular Liquids

(2020) Christoph Scherer et al.   Journal of Chemical Theory and Computation

WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF

(2020) Yanfei Zhong et al.   REMOTE SENSING OF ENVIRONMENT

Graph Convolutional Networks for Hyperspectral Image Classification

(2020) Danfeng Hong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Joint and Progressive Subspace Analysis (JPSA) With Spatial–Spectral Manifold Alignment for Semisupervised Hyperspectral Dimensionality Reduction

(2020) Danfeng Hong et al.   IEEE Transactions on Cybernetics

Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing

(2020) Yuanchao Su et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

SDFL-FC: Semisupervised Deep Feature Learning With Feature Consistency for Hyperspectral Image Classification

(2020) Yun Cao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification

(2019) Yang Zhao et al.   Remote Sensing

Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification

(2019) Mengying Jiang et al.   IEEE Geoscience and Remote Sensing Letters

Learning Dual Geometric Low-Rank Structure for Semisupervised Hyperspectral Image Classification

(2019) Zhixi Feng et al.   IEEE Transactions on Cybernetics

Kernel Stability for Model Selection in Kernel-Based Algorithms

(2019) Yong Liu et al.   IEEE Transactions on Cybernetics

A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation

(2018) Leyuan Fang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Kernel-Based Multilayer Extreme Learning Machines for Representation Learning

(2018) Chi Man Wong et al.   IEEE Transactions on Neural Networks and Learning Systems

Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification

(2018) Anyong Qin et al.   IEEE Geoscience and Remote Sensing Letters

Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images

(2017) Rong Wang et al.   IEEE Geoscience and Remote Sensing Letters

Learning Hierarchical Spectral–Spatial Features for Hyperspectral Image Classification

(2016) Yicong Zhou et al.   IEEE Transactions on Cybernetics

Extreme Learning Machine With Composite Kernels for Hyperspectral Image Classification

(2015) Yicong Zhou et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Region-Kernel-Based Support Vector Machines for Hyperspectral Image Classification

(2015) Jiangtao Peng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification

(2015) Wei Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

(2015) Sadeep Jayasumana et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Stacked Extreme Learning Machines

(2015) Hongming Zhou et al.   IEEE Transactions on Cybernetics

Large Scale Spectral Clustering Via Landmark-Based Sparse Representation

(2015) Deng Cai et al.   IEEE Transactions on Cybernetics

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

(2013) Gustavo Camps-Valls et al.   IEEE SIGNAL PROCESSING MAGAZINE

Kernel-based extreme learning machine for remote-sensing image classification

(2013) Mahesh Pal et al.   Remote Sensing Letters

Vector quantization based approximate spectral clustering of large datasets

(2012) Kadim Taşdemir   PATTERN RECOGNITION

Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering

(2011) Feiping Nie et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Efficient Additive Kernels via Explicit Feature Maps

(2011) A. Vedaldi et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS