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Giuseppe Scarpa
Giuseppe Scarpa
Associate Professor of Telecommunications at University Federico II, Naples (I)
Verified email at unina.it
Title
Cited by
Cited by
Year
Pansharpening by convolutional neural networks
G Masi, D Cozzolino, L Verdoliva, G Scarpa
Remote Sensing 8 (7), 594, 2016
8522016
Target-adaptive CNN-based pansharpening
G Scarpa, S Vitale, D Cozzolino
IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5443-5457, 2018
3352018
A new benchmark based on recent advances in multispectral pansharpening: Revisiting pansharpening with classical and emerging pansharpening methods
G Vivone, M Dalla Mura, A Garzelli, R Restaino, G Scarpa, MO Ulfarsson, ...
IEEE Geoscience and Remote Sensing Magazine 9 (1), 53-81, 2020
1962020
A tree-structured Markov random field model for Bayesian image segmentation
C D'Elia, G Poggi, G Scarpa
IEEE Transactions on Image processing 12 (10), 1259-1273, 2003
1902003
Fast adaptive nonlocal SAR despeckling
D Cozzolino, S Parrilli, G Scarpa, G Poggi, L Verdoliva
IEEE Geoscience and Remote Sensing Letters 11 (2), 524-528, 2013
1752013
A CNN-based fusion method for feature extraction from sentinel data
G Scarpa, M Gargiulo, A Mazza, R Gaetano
Remote Sensing 10 (2), 236, 2018
1482018
Marker-controlled watershed-based segmentation of multiresolution remote sensing images
R Gaetano, G Masi, G Poggi, L Verdoliva, G Scarpa
IEEE Transactions on Geoscience and Remote Sensing 53 (6), 2987-3004, 2014
1292014
Supervised segmentation of remote sensing images based on a tree-structured MRF model
G Poggi, G Scarpa, JB Zerubia
IEEE Transactions on geoscience and remote sensing 43 (8), 1901-1911, 2005
1232005
Hierarchical texture-based segmentation of multiresolution remote-sensing images
R Gaetano, G Scarpa, G Poggi
IEEE Transactions on geoscience and remote sensing 47 (7), 2129-2141, 2009
1052009
Hierarchical multiple Markov chain model for unsupervised texture segmentation
G Scarpa, R Gaetano, M Haindl, J Zerubia
IEEE Transactions on Image Processing 18 (8), 1830-1843, 2009
822009
Multitemporal SAR image despeckling based on block-matching and collaborative filtering
G Chierchia, M El Gheche, G Scarpa, L Verdoliva
IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5467-5480, 2017
702017
Machine Learning in Pansharpening: A benchmark, from shallow to deep networks
LJ Deng, G Vivone, ME Paoletti, G Scarpa, J He, Y Zhang, J Chanussot, ...
IEEE Geoscience and Remote Sensing Magazine 10 (3), 279-315, 2022
652022
Detection of environmental hazards through the feature-based fusion of optical and SAR data: A case study in southern Italy
A Errico, CV Angelino, L Cicala, G Persechino, C Ferrara, M Lega, ...
International Journal of Remote Sensing 36 (13), 3345-3367, 2015
642015
Nonlocal CNN SAR image despeckling
D Cozzolino, L Verdoliva, G Scarpa, G Poggi
Remote Sensing 12 (6), 1006, 2020
632020
Deep learning methods for synthetic aperture radar image despeckling: An overview of trends and perspectives
G Fracastoro, E Magli, G Poggi, G Scarpa, D Valsesia, L Verdoliva
IEEE Geoscience and Remote Sensing Magazine 9 (2), 29-51, 2021
522021
A nonlocal approach for SAR image denoising
S Parrilli, M Poderico, CV Angelino, G Scarpa, L Verdoliva
2010 IEEE International Geoscience and Remote Sensing Symposium, 726-729, 2010
512010
A detail-preserving cross-scale learning strategy for CNN-based pansharpening
S Vitale, G Scarpa
Remote Sensing 12 (3), 348, 2020
502020
A CNN-based coherence-driven approach for InSAR phase unwrapping
F Sica, F Calvanese, G Scarpa, P Rizzoli
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
472020
Fast super-resolution of 20 m Sentinel-2 bands using convolutional neural networks
M Gargiulo, A Mazza, R Gaetano, G Ruello, G Scarpa
Remote Sensing 11 (22), 2635, 2019
472019
Guided patchwise nonlocal SAR despeckling
S Vitale, D Cozzolino, G Scarpa, L Verdoliva, G Poggi
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6484-6498, 2019
412019
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