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Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

IEEE geoscience and remote sensing magazine, 2016-06, Vol.4 (2), p.22-40

2016

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Exploring Representativeness and Informativeness for Active Learning

IEEE transactions on cybernetics, 2017-01, Vol.47 (1), p.14-26

2017

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A Discriminative Metric Learning Based Anomaly Detection Method

IEEE transactions on geoscience and remote sensing, 2014-11, Vol.52 (11), p.6844-6857

2014

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Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2019-12, Vol.57 (12), p.9976-9992

2019

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Spectral-Spatial Unified Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2018-10, Vol.56 (10), p.5893-5909

2018

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Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

IEEE transactions on medical imaging, 2020-03, Vol.39 (3), p.753-763

2020

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Scene Classification via a Gradient Boosting Random Convolutional Network Framework

IEEE transactions on geoscience and remote sensing, 2016-03, Vol.54 (3), p.1793-1802

2016

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Saliency-Guided Unsupervised Feature Learning for Scene Classification

IEEE transactions on geoscience and remote sensing, 2015-04, Vol.53 (4), p.2175-2184

2015

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A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection

IEEE transactions on geoscience and remote sensing, 2016-03, Vol.54 (3), p.1376-1389

2016

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Anti-periodic solutions problem for inertial competitive neutral-type neural networks via Wirtinger inequality

Journal of inequalities and applications, 2019-07, Vol.2019 (1), p.1-15, Article 187

Du, Bo

2019

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An enhanced black widow optimization algorithm for feature selection

Knowledge-based systems, 2022-01, Vol.235, p.107638, Article 107638

2022

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Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

IEEE transactions on geoscience and remote sensing, 2020-04, Vol.58 (4), p.2848-2864

2020

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A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion

Remote sensing of environment, 2017-09, Vol.199, p.241-255

2017

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Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detection

IEEE transactions on geoscience and remote sensing, 2016-09, Vol.54 (9), p.5553-5563

2016

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Random-Selection-Based Anomaly Detector for Hyperspectral Imagery

IEEE transactions on geoscience and remote sensing, 2011-05, Vol.49 (5), p.1578-1589

2011

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Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2020-05, Vol.58 (5), p.3162-3177

2020

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Unsupervised domain adaptive re-identification: Theory and practice

Pattern recognition, 2020-06, Vol.102, p.107173, Article 107173

2020

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Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

IEEE transactions on cybernetics, 2022-11, Vol.52 (11), p.12084-12098

2022

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Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images

IEEE transactions on image processing, 2016-11, Vol.25 (11), p.5345-5357

2016

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Slow Feature Analysis for Change Detection in Multispectral Imagery

IEEE transactions on geoscience and remote sensing, 2014-05, Vol.52 (5), p.2858-2874

2014

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Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning

IEEE transactions on geoscience and remote sensing, 2017-05, Vol.55 (5), p.2509-2524

2017

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Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-1

2022

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A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images

IEEE transactions on geoscience and remote sensing, 2015-03, Vol.53 (3), p.1346-1354

2015

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Kernel Slow Feature Analysis for Scene Change Detection

IEEE transactions on geoscience and remote sensing, 2017-04, Vol.55 (4), p.2367-2384

2017

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Ferrofluids for Fabrication of Remotely Controllable Micro-Nanomachines by Two-Photon Polymerization

Advanced materials (Weinheim), 2010-08, Vol.22 (29), p.3204-3207

2010

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Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

Exploring Representativeness and Informativeness for Active Learning

A Discriminative Metric Learning Based Anomaly Detection Method

Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation

Scene Classification via a Gradient Boosting Random Convolutional Network Framework

Saliency-Guided Unsupervised Feature Learning for Scene Classification

A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection

Anti-periodic solutions problem for inertial competitive neutral-type neural networks via Wirtinger inequality

An enhanced black widow optimization algorithm for feature selection

Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion

Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detection

Random-Selection-Based Anomaly Detector for Hyperspectral Imagery

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

Unsupervised domain adaptive re-identification: Theory and practice

Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images

Slow Feature Analysis for Change Detection in Multispectral Imagery

Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning

Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images

Kernel Slow Feature Analysis for Scene Change Detection

Ferrofluids for Fabrication of Remotely Controllable Micro-Nanomachines by Two-Photon Polymerization

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