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Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity

IEEE transactions on geoscience and remote sensing, 2019-06, Vol.57 (6), p.3980-3992

2019

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Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization

IEEE transactions on geoscience and remote sensing, 2018-07, Vol.56 (7), p.4098-4108

2018

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Illumination Invariant Hyperspectral Image Unmixing Based on a Digital Surface Model

IEEE transactions on image processing, 2020-01, Vol.29, p.3652-3664

2020

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Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates

IEEE transactions on image processing, 2016-12, Vol.25 (12), p.5563-5575

2016

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Interpretable Deep Attention Prior for Image Restoration and Enhancement

IEEE transactions on computational imaging, 2023, Vol.9, p.185-196

2023

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A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes

IEEE transactions on geoscience and remote sensing, 2016-11, Vol.54 (11), p.6712-6731

2016

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Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2326

2020

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A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes

IEEE transactions on geoscience and remote sensing, 2016-05, Vol.54 (5), p.2812-2831

2016

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Mineralogical mapping of southern Namibia by application of continuum-removal MSAM method to the HyMap data

International journal of remote sensing, 2013, Vol.34 (15), p.5282-5295

2013

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Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution

Computer Vision - ECCV 2022, 2022, Vol.13679, p.1-18

2022

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Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration

Computer Vision - ECCV 2022, 2022, Vol.13679, p.19-37

2022

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A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing

2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2018, p.1-5

2018

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LiDAR-Guided Reduction Of Spectral Variability in Hyperspectral Imagery

2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2019, p.1-4

2019

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Lidar-Driven Spatial Regularization for Hyperspectral Unmixing

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, p.1740-1743

2018

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Multisource Remote Sensing Image Fusion

Deep Learning for the Earth Sciences, 2021, p.136-149

2021

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Guided Deep Decoder: Unsupervised Image Pair Fusion

Computer Vision - ECCV 2020, 2020, Vol.12351, p.87-102

2020

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Spectral curve-based endmember extraction method

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015, p.1-4

2015

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Multiple endmember spectral unmixing within a multi-task framework

2014 IEEE Geoscience and Remote Sensing Symposium, 2014, p.3454-3457

2014

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Hyperspectral Unmixing With Spectral Variability Using Adaptive Bundles and Double Sparsity

Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization

Illumination Invariant Hyperspectral Image Unmixing Based on a Digital Surface Model

Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates

Interpretable Deep Attention Prior for Image Restoration and Enhancement

A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes

Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability

A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes

Mineralogical mapping of southern Namibia by application of continuum-removal MSAM method to the HyMap data

Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution

Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration

A multiple endmember mixing model to handle spectral variability in hyperspectral unmixing

LiDAR-Guided Reduction Of Spectral Variability in Hyperspectral Imagery

Lidar-Driven Spatial Regularization for Hyperspectral Unmixing

Multisource Remote Sensing Image Fusion

Guided Deep Decoder: Unsupervised Image Pair Fusion

Spectral curve-based endmember extraction method

Multiple endmember spectral unmixing within a multi-task framework

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