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Gabriele Cavallaro
Gabriele Cavallaro
Forschungszentrum Jülich and University of Iceland
Verified email at fz-juelich.de - Homepage
Title
Cited by
Cited by
Year
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
1312015
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
1212014
Automatic attribute profiles
G Cavallaro, N Falco, M Dalla Mura, JA Benediktsson
IEEE transactions on image processing 26 (4), 1859-1872, 2017
462017
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images
G Cavallaro, M Dalla Mura, JA Benediktsson, L Bruzzone
IEEE, 2015
422015
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
362019
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
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
312020
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
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
292021
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
262018
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
232018
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
222014
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
212015
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
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
142022
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
142021
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
142020
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
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