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Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

IEEE transactions on geoscience and remote sensing, 2012-11, Vol.50 (11), p.4484-4502

2012

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IEEE_Xplore

Collaborative Sparse Regression for Hyperspectral Unmixing

IEEE transactions on geoscience and remote sensing, 2014-01, Vol.52 (1), p.341-354

2014

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IEEE_Xplore

A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2280

2020

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Sparse Unmixing-Based Change Detection for Multitemporal Hyperspectral Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-02, Vol.9 (2), p.708-719

2016

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Sparse Unmixing With Dictionary Pruning for Hyperspectral Change Detection

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-01, Vol.10 (1), p.321-330

2017

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MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression

IEEE transactions on geoscience and remote sensing, 2014-07, Vol.52 (7), p.4364-4382

2014

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IEEE_Xplore

A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover

Remote sensing (Basel, Switzerland), 2017-06, Vol.9 (6), p.565

2017

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Sparse Unmixing of Hyperspectral Data

IEEE transactions on geoscience and remote sensing, 2011-06, Vol.49 (6), p.2014-2039

2011

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IEEE_Xplore

Intercomparison of four airborne imaging DOAS systems for tropospheric NO2 mapping – the AROMAPEX campaign

Atmospheric measurement techniques, 2019-01, Vol.12 (1), p.211-236

2019

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Hyplant-Derived Sun-Induced Fluorescence—A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (14), p.1691

2019

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High-resolution mapping of the NO2 spatial distribution over Belgian urban areas based on airborne APEX remote sensing

Atmospheric measurement techniques, 2017-05, Vol.10 (5), p.1665-1688

2017

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Evaluation of PROBA-V Collection 1: Refined Radiometry, Geometry, and Cloud Screening

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1375

2018

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Geometric correction of APEX hyperspectral data

Miscellanea geographica, 2016-03, Vol.20 (1), p.11-15

2016

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Atmospheric correction of APEX hyperspectral data

Miscellanea geographica, 2016-03, Vol.20 (1), p.16-20

2016

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Data acquisition with the APEX hyperspectral sensor

Miscellanea geographica, 2016-03, Vol.20 (1), p.5-10

2016

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Assessment of the TROPOMI tropospheric NO2 product based on airborne APEX observations

Atmospheric measurement techniques, 2021-01, Vol.14 (1), p.615-646

2021

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Propagation of uncertainty in atmospheric parameters to hyperspectral unmixing

Remote sensing of environment, 2018-01, Vol.204, p.472-484

2018

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Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (22), p.5820

2022

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A Dynamic Unmixing Framework for Plant Production System Monitoring

IEEE journal of selected topics in applied earth observations and remote sensing, 2014-06, Vol.7 (6), p.2016-2034

2014

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Can Aircraft-Based Remote-Sensing NO2 Measurements Combined with High Resolution Model Data Improve NO2 Exposure Estimates over Urban Areas?

Air Pollution Modeling and its Application XXV, p.163-167

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Sparse Unmixing of Hyperspectral Data: The Legacy of SUnSAL

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, p.21-24

2021

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IEEE_Xplore

Application of Random Forest Classification to Detect the Pine Wilt Disease from High Resolution Spectral Images

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.4489-4492

2020

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IEEE_Xplore

On the use of spectral libraries to perform sparse unmixing of hyperspectral data

2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010, p.1-4

2010

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IEEE_Xplore

Dictionary pruning in sparse unmixing of hyperspectral data

2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012, p.1-4

2012

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IEEE_Xplore

Assessment of the TROPOMI tropospheric NO.sub.2 product based on airborne APEX observations

Atmospheric measurement techniques, 2021-01, Vol.14 (1), p.615

2021

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Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

Collaborative Sparse Regression for Hyperspectral Unmixing

A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery

Sparse Unmixing-Based Change Detection for Multitemporal Hyperspectral Images

Sparse Unmixing With Dictionary Pruning for Hyperspectral Change Detection

MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression

A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover

Sparse Unmixing of Hyperspectral Data

Intercomparison of four airborne imaging DOAS systems for tropospheric NO2 mapping – the AROMAPEX campaign

Hyplant-Derived Sun-Induced Fluorescence—A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types

High-resolution mapping of the NO2 spatial distribution over Belgian urban areas based on airborne APEX remote sensing

Evaluation of PROBA-V Collection 1: Refined Radiometry, Geometry, and Cloud Screening

Geometric correction of APEX hyperspectral data

Atmospheric correction of APEX hyperspectral data

Data acquisition with the APEX hyperspectral sensor

Assessment of the TROPOMI tropospheric NO2 product based on airborne APEX observations

Propagation of uncertainty in atmospheric parameters to hyperspectral unmixing

Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images

A Dynamic Unmixing Framework for Plant Production System Monitoring

Can Aircraft-Based Remote-Sensing NO2 Measurements Combined with High Resolution Model Data Improve NO2 Exposure Estimates over Urban Areas?

Sparse Unmixing of Hyperspectral Data: The Legacy of SUnSAL

Application of Random Forest Classification to Detect the Pine Wilt Disease from High Resolution Spectral Images

On the use of spectral libraries to perform sparse unmixing of hyperspectral data

Dictionary pruning in sparse unmixing of hyperspectral data

Assessment of the TROPOMI tropospheric NO.sub.2 product based on airborne APEX observations

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