Marian-Daniel Iordache

According to our database1, Marian-Daniel Iordache authored at least 25 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Hyplant-Derived Sun-Induced Fluorescence - A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types.
Remote Sensing, 2019

2018
Evaluation of PROBA-V Collection 1: Refined Radiometry, Geometry, and Cloud Screening.
Remote Sensing, 2018

2017
Sparse Unmixing With Dictionary Pruning for Hyperspectral Change Detection.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2017

A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover.
Remote Sensing, 2017

Proba-V cloud detection Round Robin: Validation results and recommendations.
Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2016
Sparse Unmixing-Based Change Detection for Multitemporal Hyperspectral Images.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2016

Uncertainty propagation from atmospheric parameters to sparse hyperspectral unmixing.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Potential and limitations of band selection and library pruning in sparse hyperspectral unmixing.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Hyperspectral change detection by sparse unmixing with dictionary pruning.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

2014
MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression.
IEEE Trans. Geoscience and Remote Sensing, 2014

Collaborative Sparse Regression for Hyperspectral Unmixing.
IEEE Trans. Geoscience and Remote Sensing, 2014

A Dynamic Unmixing Framework for Plant Production System Monitoring.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2014

On the use of collaborative sparse regression in hyperspectral unmixing chains.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013
Plant production system monitoring via multiple signal classification and sparse regression.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Improved signal unmixing of vegetation using sparse group selection.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing.
IEEE Trans. Geoscience and Remote Sensing, 2012

Dictionary pruning in sparse unmixing of hyperspectral data.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

Collaborative sparse unmixing of hyperspectral data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Sparse Unmixing of Hyperspectral Data.
IEEE Trans. Geoscience and Remote Sensing, 2011

Total variation regulatization in sparse hyperspectral unmixing.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

Hyperspectral unmixingwith sparse group lasso.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
On the use of spectral libraries to perform sparse unmixing of hyperspectral data.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Recent developments in sparse hyperspectral unmixing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Unmixing Sparse Hyperspectral Mixtures.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009


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