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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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

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

A Spatial and Temporal Nonlocal Filter-Based Data Fusion Method

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

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

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

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

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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