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Miguel Angel Veganzones
Miguel Angel Veganzones
VP of Data in Lookiero
Bestätigte E-Mail-Adresse bei lookiero.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Hyperspectral pansharpening: a review
L Loncan, LB Almeida, JM Bioucas-Dias, X Briottet, J Chanussot, ...
IEEE Geoscience and Remote Sensing Magazine 3 (3), 27-46, 2015
8062015
Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability
L Drumetz, MA Veganzones, S Henrot, R Phlypo, J Chanussot, C Jutten
IEEE Transactions on Image Processing 25 (8), 3890-3905, 2016
2582016
Hyperspectral super-resolution of locally low rank images from complementary multisource data
MA Veganzones, M Simoes, G Licciardi, N Yokoya, JM Bioucas-Dias, ...
IEEE Transactions on Image Processing 25 (1), 274-288, 2015
1882015
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa. ai FL framework and methodological guidelines for preserving data privacy
N Rodríguez-Barroso, G Stipcich, D Jiménez-López, JA Ruiz-Millán, ...
Information Fusion 64, 270-292, 2020
1232020
Nonnegative tensor CP decomposition of hyperspectral data
MA Veganzones, JE Cohen, RC Farias, J Chanussot, P Comon
IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2577-2588, 2015
1222015
Hyperspectral image segmentation using a new spectral unmixing-based binary partition tree representation
M Veganzones, G Tochon, M Dalla-Mura, A Plaza, J Chanussot
Image Processing, IEEE Transactions on 23 (8), 3574-3589, 2014
1172014
A new extended linear mixing model to address spectral variability
MA Veganzones, L Drumetz, G Tochon, M Dalla Mura, A Plaza, ...
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
952014
Endmember extraction methods: A short review
MA Veganzones, M Grana
International conference on knowledge-based and intelligent information and …, 2008
932008
An endmember-based distance for content based hyperspectral image retrieval
M Grana, MA Veganzones
Pattern Recognition 45 (9), 3472-3489, 2012
522012
Hyperspectral Anomaly Detectors Using Robust Estimators
J Frontera-Pons, MA Veganzones, F Pascal, JP Ovarlez
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
492016
A Spectral/Spatial CBIR system for hyperspectral images
MA Veganzones, M Graña
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE …, 2012
402012
A novel negative abundance-oriented hyperspectral unmixing algorithm
R Marrero, S Lopez, GM Callico, MA Veganzones, A Plaza, J Chanussot, ...
IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3772-3790, 2015
292015
On content-based image retrieval systems for hyperspectral remote sensing images
MA Veganzones, JO Maldonado, M Graña
Computational Intelligence for Remote Sensing, 125-144, 2008
242008
Dynamic federated learning model for identifying adversarial clients
N Rodrıguez-Barroso, E Martınez-Cámara, M Luzón, GG Seco, ...
arXiv preprint arXiv:2007.15030, 2020
212020
Robust anomaly detection in hyperspectral imaging
J Frontera-Pons, MA Veganzones, S Velasco-Forero, F Pascal, ...
2014 IEEE Geoscience and Remote Sensing Symposium, 4604-4607, 2014
212014
Super-resolution of hyperspectral images using local spectral unmixing
G Licciardi, MA Veganzones, M Simoes, J Bioucas, J Chanussot
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
182014
Dictionary based hyperspectral image retrieval
MA Veganzones, M Datcu, M Grana
Proceedings of the 1st International Conference on Pattern Recognition …, 2012
142012
MULTILINEAR SPECTRAL UNMIXING OF HYPERSPECTRAL MULTIANGLE IMAGES
MA Veganzones, J Cohen, RC Farias, R Marrero, J Chanussot, P Comon
2015 European Signal Processing Conference (EUSIPCO 2015), 2015
132015
Endmember induction by lattice associative memories and multi-objective genetic algorithms
M Graña, MA Veganzones
EURASIP Journal on Advances in Signal Processing 2012, 1-12, 2012
132012
Hyperspectral Local Intrinsic Dimensionality
L Drumetz, MA Veganzones, RM Gómez, G Tochon, MD Mura, ...
IEEE Transactions on Geoscience and Remote Sensing, 2016
122016
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