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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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Graph Convolutional Networks for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2021-07, Vol.59 (7), p.5966-5978

2021

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Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution

IEEE transactions on image processing, 2019-06, Vol.28 (6), p.3034-3047

2019

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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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l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

IEEE transactions on geoscience and remote sensing, 2021-09, Vol.59 (9), p.7695-7710

2021

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StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion

IEEE transactions on geoscience and remote sensing, 2019-09, Vol.57 (9), p.6552-6564

2019

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Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature

IEEE geoscience and remote sensing magazine, 2017-06, Vol.5 (2), p.29-56

2017

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ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.5146-5158

2019

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A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization

IEEE transactions on geoscience and remote sensing, 2015-06, Vol.53 (6), p.3373-3388

2015

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A Critical Comparison Among Pansharpening Algorithms

IEEE transactions on geoscience and remote sensing, 2015-05, Vol.53 (5), p.2565-2586

2015

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Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction

ISPRS journal of photogrammetry and remote sensing, 2019-12, Vol.158, p.35-49

2019

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Noise Reduction in Hyperspectral Imagery: Overview and Application

Remote sensing (Basel, Switzerland), 2018-03, Vol.10 (3), p.482

2018

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Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

IEEE geoscience and remote sensing letters, 2020-02, Vol.17 (2), p.302-306

2020

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Hyperspectral Remote Sensing Image Classification Based on Rotation Forest

IEEE geoscience and remote sensing letters, 2014-01, Vol.11 (1), p.239-243

2014

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Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

IEEE geoscience and remote sensing magazine, 2020-12, Vol.8 (4), p.60-88

2020

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Progress and Challenges in Intelligent Remote Sensing Satellite Systems

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.1814-1822

2022

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Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images

IEEE transactions on image processing, 2016-07, Vol.25 (7), p.3219-3232

2016

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Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability

IEEE transactions on image processing, 2016-08, Vol.25 (8), p.3890-3905

2016

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Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network

Ecological indicators, 2022-07, Vol.140, p.108999, Article 108999

2022

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Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening

IEEE geoscience and remote sensing letters, 2014-05, Vol.11 (5), p.930-934

2014

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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

IEEE journal of selected topics in applied earth observations and remote sensing, 2012-04, Vol.5 (2), p.354-379

2012

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Very short term forecasting of the Global Horizontal Irradiance using a spatio-temporal autoregressive model

Renewable energy, 2014-12, Vol.72, p.291-300

2014

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SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images

IEEE geoscience and remote sensing letters, 2010-10, Vol.7 (4), p.736-740

2010

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Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization

IEEE transactions on geoscience and remote sensing, 2014-02, Vol.52 (2), p.1430-1437

2014

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DSMNN-Net: A Deep Siamese Morphological Neural Network Model for Burned Area Mapping Using Multispectral Sentinel-2 and Hyperspectral PRISMA Images

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (24), p.5138

2021

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

Graph Convolutional Networks for Hyperspectral Image Classification

Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution

CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion

Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature

ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization

A Critical Comparison Among Pansharpening Algorithms

Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction

Noise Reduction in Hyperspectral Imagery: Overview and Application

Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

Hyperspectral Remote Sensing Image Classification Based on Rotation Forest

Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

Progress and Challenges in Intelligent Remote Sensing Satellite Systems

Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images

Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability

Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network

Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Very short term forecasting of the Global Horizontal Irradiance using a spatio-temporal autoregressive model

SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images

Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization

DSMNN-Net: A Deep Siamese Morphological Neural Network Model for Burned Area Mapping Using Multispectral Sentinel-2 and Hyperspectral PRISMA Images

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