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Gabriele Cavallaro
Gabriele Cavallaro
Forschungszentrum Jülich and University of Iceland
Bestätigte E-Mail-Adresse bei fz-juelich.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
On understanding big data impacts in remotely sensed image classification using support vector machine methods
G Cavallaro, M Riedel, M Richerzhagen, JA Benediktsson, A Plaza
IEEE journal of selected topics in applied earth observations and remote …, 2015
1272015
Automatic framework for spectral–spatial classification based on supervised feature extraction and morphological attribute profiles
P Ghamisi, JA Benediktsson, G Cavallaro, A Plaza
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
1202014
Automatic attribute profiles
G Cavallaro, N Falco, M Dalla Mura, JA Benediktsson
IEEE transactions on image processing 26 (4), 1859-1872, 2017
452017
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images
G Cavallaro, M Dalla Mura, JA Benediktsson, L Bruzzone
IEEE, 2015
432015
Remote sensing image classification using attribute filters defined over the tree of shapes
G Cavallaro, M Dalla Mura, JA Benediktsson, A Plaza
IEEE Transactions on Geoscience and Remote Sensing 54 (7), 3899-3911, 2016
352016
Remote sensing big data classification with high performance distributed deep learning
R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, JA Benediktsson
Remote sensing 11 (24), 3056, 2019
342019
Cloud deep networks for hyperspectral image analysis
JM Haut, JA Gallardo, ME Paoletti, G Cavallaro, J Plaza, A Plaza, ...
IEEE transactions on geoscience and remote sensing 57 (12), 9832-9848, 2019
302019
Approaching remote sensing image classification with ensembles of support vector machines on the d-wave quantum annealer
G Cavallaro, D Willsch, M Willsch, K Michielsen, M Riedel
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
282020
The influence of sampling methods on pixel-wise hyperspectral image classification with 3D convolutional neural networks
J Lange, G Cavallaro, M Götz, E Erlingsson, M Riedel
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
232018
Quantum support vector machine algorithms for remote sensing data classification
A Delilbasic, G Cavallaro, M Willsch, F Melgani, M Riedel, K Michielsen
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2608 …, 2021
212021
Smart data analytics methods for remote sensing applications
G Cavallaro, M Riedel, JA Benediktsson, M Goetz, T Runarsson, ...
2014 IEEE geoscience and remote sensing symposium, 1405-1408, 2014
212014
Parallel computation of component trees on distributed memory machines
M Götz, G Cavallaro, T Géraud, M Book, M Riedel
IEEE transactions on parallel and distributed systems 29 (11), 2582-2598, 2018
202018
On scalable data mining techniques for earth science
M Götz, M Richerzhagen, C Bodenstein, G Cavallaro, P Glock, M Riedel, ...
Procedia computer science 51, 2188-2197, 2015
202015
Juwels booster–a supercomputer for large-scale ai research
S Kesselheim, A Herten, K Krajsek, J Ebert, J Jitsev, M Cherti, M Langguth, ...
High Performance Computing: ISC High Performance Digital 2021 International …, 2021
152021
Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classification
JA Benediktsson, G Cavallaro, N Falco, I Hedhli, VA Krylov, G Moser, ...
Mathematical Models for Remote Sensing Image Processing: Models and Methods …, 2018
152018
A comparison of self-dual attribute profiles based on different filter rules for classification
G Cavallaro, M Dalla Mura, JA Benediktsson, L Bruzzone
2014 IEEE Geoscience and Remote Sensing Symposium, 1265-1268, 2014
152014
Automatic threshold selection for profiles of attribute filters based on granulometric characteristic functions
G Cavallaro, N Falco, M Dalla Mura, L Bruzzone, JA Benediktsson
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015
142015
High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]
G Cavallaro, DB Heras, Z Wu, M Maskey, S Lopez, P Gawron, M Coca, ...
IEEE Geoscience and Remote Sensing Magazine 10 (2), 329-345, 2022
132022
Super-resolution of large volumes of sentinel-2 images with high performance distributed deep learning
R Zhang, G Cavallaro, J Jitsev
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
132020
Practice and experience in using parallel and scalable machine learning in remote sensing from HPC over cloud to quantum computing
M Riedel, G Cavallaro, JA Benediktsson
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1571 …, 2021
112021
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