Miguel Angel Veganzones
Miguel Angel Veganzones
AI Team Director at Sherpa Europe
Email verificata su sher.pa - Home page
TitoloCitata daAnno
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
3022015
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
802016
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
722014
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
662015
Endmember extraction methods: A short review
MA Veganzones, M Grana
International Conference on Knowledge-Based and Intelligent Information andá…, 2008
662008
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 iná…, 2014
482014
An endmember-based distance for content based hyperspectral image retrieval
M Grana, MA Veganzones
Pattern Recognition 45 (9), 3472-3489, 2012
442012
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
382015
A Spectral/Spatial CBIR system for hyperspectral images
MA Veganzones, M Gra˝a
Selected Topics in Applied Earth Observations and Remote Sensing, IEEEá…, 2012
372012
On content-based image retrieval systems for hyperspectral remote sensing images
MA Veganzones, JO Maldonado, M Gra˝a
Computational Intelligence for Remote Sensing, 125-144, 2008
202008
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 Remoteá…, 2016
172016
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
142015
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
142014
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
122015
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 iná…, 2014
112014
Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation
MA Veganzones, G Tochon, M Dalla Mura, AJ Plaza, J Chanussot
2013 IEEE International Conference on Image Processing, 245-249, 2013
112013
Binary partition tree-based local spectral unmixing
J Chanussot, A Plaza, M Dalla Mura, G Tochon, R Marrero, ...
Hyperspectral Image and Signal Processing: Evolution in Remote Sensingá…, 2014
10*2014
Endmember induction by lattice associative memories and multi-objective genetic algorithms
M Gra˝a, MA Veganzones
EURASIP Journal on Advances in Signal Processing 2012 (1), 64, 2012
102012
Spectral indexing for hyperspectral image CBIR
JO Maldonado, D Vicente, MA Veganzones, M Grana
ESA-EUSC 2006: Image Information Mining for Security and Intelligence, 2006
92006
Hyperspectral Local Intrinsic Dimensionality
L Drumetz, MA Veganzones, RM Gˇmez, G Tochon, MD Mura, ...
IEEE Transactions on Geoscience and Remote Sensing, 2016
82016
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20