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MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1

2024

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Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences

1, 2021

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Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images

IEEE transactions on geoscience and remote sensing, 2020-11, Vol.58 (11), p.7557-7569

2020

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Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2020-01, Vol.58 (1), p.110-122

2020

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Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network

IEEE transactions on geoscience and remote sensing, 2018-11, Vol.56 (11), p.6699-6711

2018

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Self-Supervised Multisensor Change Detection

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-10

2022

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Deep Recurrent Neural Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2017-07, Vol.55 (7), p.3639-3655

2017

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Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

IEEE transactions on geoscience and remote sensing, 2019-02, Vol.57 (2), p.924-935

2019

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Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2020-06, Vol.58 (6), p.3791-3808

2020

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Relation Network for Multilabel Aerial Image Classification

IEEE transactions on geoscience and remote sensing, 2020-07, Vol.58 (7), p.4558-4572

2020

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A Sparse Image Fusion Algorithm With Application to Pan-Sharpening

IEEE transactions on geoscience and remote sensing, 2013-05, Vol.51 (5), p.2827-2836

2013

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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

IEEE transactions on image processing, 2019-04, Vol.28 (4), p.1923-1938

2019

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Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2018-01, Vol.56 (1), p.391-406

2018

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HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14

2022

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Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2020-12, Vol.58 (12), p.8246-8257

2020

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HSF-Net: Multiscale Deep Feature Embedding for Ship Detection in Optical Remote Sensing Imagery

IEEE transactions on geoscience and remote sensing, 2018-12, Vol.56 (12), p.7147-7161

2018

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Tomographic SAR Inversion by L1-Norm Regularization—The Compressive Sensing Approach

IEEE transactions on geoscience and remote sensing, 2010-10, Vol.48 (10), p.3839-3846

2010

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Very High Resolution Spaceborne SAR Tomography in Urban Environment

IEEE transactions on geoscience and remote sensing, 2010-12, Vol.48 (12), p.4296-4308

2010

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Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR

IEEE transactions on geoscience and remote sensing, 2012-01, Vol.50 (1), p.247-258

2012

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SULoRA: Subspace Unmixing With Low-Rank Attribute Embedding for Hyperspectral Data Analysis

IEEE journal of selected topics in signal processing, 2018-12, Vol.12 (6), p.1351-1363

2018

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CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.4349-4359

2019

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Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14

2022

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Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery

IEEE transactions on geoscience and remote sensing, 2021-07, Vol.59 (7), p.5866-5878

2021

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Nonlocal Compressive Sensing-Based SAR Tomography

IEEE transactions on geoscience and remote sensing, 2019-05, Vol.57 (5), p.3015-3024

2019

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Data Fusion and Remote Sensing: An ever-growing relationship

IEEE geoscience and remote sensing magazine, 2016-12, Vol.4 (4), p.6-23

2016

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MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification

Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences

Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images

Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification

Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network

Self-Supervised Multisensor Change Detection

Deep Recurrent Neural Networks for Hyperspectral Image Classification

Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

Relation Network for Multilabel Aerial Image Classification

A Sparse Image Fusion Algorithm With Application to Pan-Sharpening

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification

HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline

Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification

HSF-Net: Multiscale Deep Feature Embedding for Ship Detection in Optical Remote Sensing Imagery

Tomographic SAR Inversion by L1-Norm Regularization—The Compressive Sensing Approach

Very High Resolution Spaceborne SAR Tomography in Urban Environment

Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR

SULoRA: Subspace Unmixing With Low-Rank Attribute Embedding for Hyperspectral Data Analysis

CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification

Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery

Nonlocal Compressive Sensing-Based SAR Tomography

Data Fusion and Remote Sensing: An ever-growing relationship

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