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A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images

IEEE transactions on geoscience and remote sensing, 2009-05, Vol.47 (5), p.1492-1502

2009

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IEEE_Xplore

Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration

IEEE transactions on geoscience and remote sensing, 2016-01, Vol.54 (1), p.178-188

2016

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IEEE_Xplore

Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

IEEE geoscience and remote sensing letters, 2017-10, Vol.14 (10), p.1795-1799

2017

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IEEE_Xplore

Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

IEEE transactions on geoscience and remote sensing, 2019-02, Vol.57 (2), p.1205-1218

2019

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IEEE_Xplore

An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2016-12, Vol.54 (12), p.7135-7148

2016

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IEEE_Xplore

Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

IEEE transactions on geoscience and remote sensing, 2014-08, Vol.52 (8), p.4729-4743

2014

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IEEE_Xplore

Hyperspectral Image Denoising Employing a Spectral-Spatial Adaptive Total Variation Model

IEEE transactions on geoscience and remote sensing, 2012-10, Vol.50 (10), p.3660-3677

2012

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IEEE_Xplore

Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges

Information fusion, 2019-03, Vol.46, p.102-113

2019

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Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the city of Wuhan in China

Remote sensing of environment, 2016-01, Vol.172, p.109-125

2016

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Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial–Spectral Total Variation

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-03, Vol.11 (3), p.713-729

2018

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Robust registration for remote sensing images by combining and localizing feature- and area-based methods

ISPRS journal of photogrammetry and remote sensing, 2019-05, Vol.151, p.15-26

2019

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Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method

Remote sensing of environment, 2013-04, Vol.131, p.182-194

2013

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Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation

IEEE journal of selected topics in applied earth observations and remote sensing, 2015-06, Vol.8 (6), p.3050-3061

2015

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Noise Removal From Hyperspectral Image With Joint Spectral-Spatial Distributed Sparse Representation

IEEE transactions on geoscience and remote sensing, 2016-09, Vol.54 (9), p.5425-5439

2016

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IEEE_Xplore

A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution

IEEE transactions on image processing, 2007-02, Vol.16 (2), p.479-490

2007

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IEEE_Xplore

A Spatial and Temporal Nonlocal Filter-Based Data Fusion Method

IEEE transactions on geoscience and remote sensing, 2017-08, Vol.55 (8), p.4476-4488

2017

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IEEE_Xplore

The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations

International journal of environmental research and public health, 2017-12, Vol.14 (12), p.1510

2017

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Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems

Science China. Earth sciences, 2023-03, Vol.66 (3), p.568-582

2023

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Estimating surface soil moisture from satellite observations using a generalized regression neural network trained on sparse ground-based measurements in the continental U.S

Journal of hydrology (Amsterdam), 2020-01, Vol.580, p.124351, Article 124351

2020

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Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

IEEE transactions on geoscience and remote sensing, 2014-11, Vol.52 (11), p.7086-7098

2014

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IEEE_Xplore

Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning

ISPRS journal of photogrammetry and remote sensing, 2020-04, Vol.162, p.148-160

2020

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Inpainting for Remotely Sensed Images With a Multichannel Nonlocal Total Variation Model

IEEE transactions on geoscience and remote sensing, 2014-01, Vol.52 (1), p.175-187

2014

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IEEE_Xplore

Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system

International journal of applied earth observation and geoinformation, 2021-12, Vol.103, p.102477, Article 102477

2021

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Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model

IEEE transactions on circuits and systems for video technology, 2012-03, Vol.22 (3), p.379-392

2012

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IEEE_Xplore

Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model

ISPRS journal of photogrammetry and remote sensing, 2014-06, Vol.92, p.54-68

2014

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A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images

Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration

Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network

An Integrated Framework for the Spatio-Temporal-Spectral Fusion of Remote Sensing Images

Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

Hyperspectral Image Denoising Employing a Spectral-Spatial Adaptive Total Variation Model

Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges

Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the city of Wuhan in China

Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial–Spectral Total Variation

Robust registration for remote sensing images by combining and localizing feature- and area-based methods

Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method

Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation

Noise Removal From Hyperspectral Image With Joint Spectral-Spatial Distributed Sparse Representation

A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution

A Spatial and Temporal Nonlocal Filter-Based Data Fusion Method

The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations

Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems

Estimating surface soil moisture from satellite observations using a generalized regression neural network trained on sparse ground-based measurements in the continental U.S

Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning

Inpainting for Remotely Sensed Images With a Multichannel Nonlocal Total Variation Model

Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system

Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model

Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model

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