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Going Deeper With Contextual CNN for Hyperspectral Image Classification

IEEE transactions on image processing, 2017-10, Vol.26 (10), p.4843-4855

2017

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Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery

IEEE transactions on geoscience and remote sensing, 2005-02, Vol.43 (2), p.388-397

2005

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Kernel matched subspace detectors for hyperspectral target detection

IEEE transactions on pattern analysis and machine intelligence, 2006-02, Vol.28 (2), p.178-194

2006

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Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification

IEEE geoscience and remote sensing letters, 2013-09, Vol.10 (5), p.1031-1035

2013

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Generating Hard Examples for Pixel-Wise Classification

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.9504-9517

2021

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Kernel orthogonal subspace projection for hyperspectral signal classification

IEEE transactions on geoscience and remote sensing, 2005-12, Vol.43 (12), p.2952-2962

2005

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Sparse kernel learning-based feature selection for anomaly detection

IEEE transactions on aerospace and electronic systems, 2015-07, Vol.51 (3), p.1698-1716

2015

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DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors

IEEE transactions on pattern analysis and machine intelligence, 2021-05, Vol.43 (5), p.1499-1514

2021

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Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters

IEEE geoscience and remote sensing letters, 2011-11, Vol.8 (6), p.1060-1064

2011

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Sparse Kernel-Based Hyperspectral Anomaly Detection

IEEE geoscience and remote sensing letters, 2012-09, Vol.9 (5), p.943-947

2012

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Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata

IEEE access, 2023, Vol.11, p.80958-80972

2023

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ME R-CNN: Multi-Expert R-CNN for Object Detection

IEEE transactions on image processing, 2020-01, Vol.29, p.1030-1044

2020

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A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery

EURASIP journal on advances in signal processing, 2007-01, Vol.2007 (1), p.029250, Article 029250

2007

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Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-12

2022

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Task-conversions for integrating human and machine perception in a unified task

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, p.2751-2758

2016

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Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.3239-3243

2022

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Kernel adaptive subspace detector for hyperspectral imagery

IEEE geoscience and remote sensing letters, 2006-04, Vol.3 (2), p.271-275

2006

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Contextual deep CNN based hyperspectral classification

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016, p.3322-3325

2016

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Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems

IEEE transactions on geoscience and remote sensing, 2013-02, Vol.51 (2), p.787-802

2013

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DTM: Deformable template matching

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.1966-1970

2016

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Human-autonomy sensor fusion for rapid object detection

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015, p.305-312

2015

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Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.1384-1391

2021

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A hybrid CSVM-HMM model for acoustic signal classification using a tetrahedral sensor array

IEEE SENSORS 2014 Proceedings, 2014, p.1352-1355

2014

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Algorithms for Multispectral and Hyperspectral Image Analysis

Journal of Electrical and Computer Engineering, 2013-01, Vol.2013, p.1-2

2013

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Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification

IEEE journal of selected topics in applied earth observations and remote sensing, 2014-04, Vol.7 (4), p.1217-1226

2014

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Going Deeper With Contextual CNN for Hyperspectral Image Classification

Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery

Kernel matched subspace detectors for hyperspectral target detection

Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification

Generating Hard Examples for Pixel-Wise Classification

Kernel orthogonal subspace projection for hyperspectral signal classification

Sparse kernel learning-based feature selection for anomaly detection

DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors

Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters

Sparse Kernel-Based Hyperspectral Anomaly Detection

Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata

ME R-CNN: Multi-Expert R-CNN for Object Detection

A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery

Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification

Task-conversions for integrating human and machine perception in a unified task

Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation

Kernel adaptive subspace detector for hyperspectral imagery

Contextual deep CNN based hyperspectral classification

Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems

DTM: Deformable template matching

Human-autonomy sensor fusion for rapid object detection

Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing

A hybrid CSVM-HMM model for acoustic signal classification using a tetrahedral sensor array

Algorithms for Multispectral and Hyperspectral Image Analysis

Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification

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