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ORCIDRaffaele Gaetano
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2020 – today
- 2024
[j24]Dino Ienco
, Raffaele Gaetano, Roberto Interdonato:
A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. Neurocomputing 567: 127031 (2024)- [c38]Bruno Bio Nikki Sarè, Raffaele Gaetano, Roberto Interdonato, Yvon Carmen Hountondji, Dino Ienco, Cássio Fraga Dantas:
Joint Cloud Removal and Classification of Sentinel-2 Image Time Series for Agricultural Land Cover Mapping in Northern Benin. IGARSS 2024: 4824-4827 - [c37]Cássio F. Dantas, Raffaele Gaetano, Dino Ienco:
Semi-supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-labelling. ECML/PKDD (3) 2024: 440-456 - [i13]Cássio Fraga Dantas, Raffaele Gaetano, Claudia Paris, Dino Ienco:
Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning. CoRR abs/2404.11114 (2024) - [i12]Cássio F. Dantas, Raffaele Gaetano, Dino Ienco:
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling. CoRR abs/2406.14087 (2024) - 2023
- [j23]Enzo Castro Alvarado, Agnès Bégué, Louise Leroux, Raffaele Gaetano:
A multi-year land use trajectory strategy for non-active agricultural land mapping in sub-humid West Africa. Int. J. Appl. Earth Obs. Geoinformation 122: 103398 (2023) - [j22]Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas N. Baghdadi, Adrien Hadj-Salah:
Temporal-Domain Adaptation for Satellite Image Time-Series Land-Cover Mapping With Adversarial Learning and Spatially Aware Self-Training. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3645-3675 (2023) - [j21]Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas N. Baghdadi, Adrien Hadj-Salah, Matthieu Le Goff, Florient Chouteau:
Multisensor Temporal Unsupervised Domain Adaptation for Land Cover Mapping With Spatial Pseudo-Labeling and Adversarial Learning. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - 2022
- [j20]Patrick Calvano Kuchler, Margareth Simões, Rodrigo P. D. Ferraz, Damien Arvor, Pedro Luiz Oliveira de Almeida Machado, Marcos Reis Rosa, Raffaele Gaetano, Agnès Bégué:
Monitoring Complex Integrated Crop-Livestock Systems at Regional Scale in Brazil: A Big Earth Observation Data Approach. Remote. Sens. 14(7): 1648 (2022) - [c36]Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas N. Baghdadi, Adrien Hadj-Salah:
Unsupervised Domain Adaptation Methods for Land Cover Mapping with Optical Satellite Image Time Series. IGARSS 2022: 275-278 - [c35]Ibrahim Fayad, Dino Ienco, Nicolas N. Baghdadi, Raffaele Gaetano, Clayton Alcarde Alvares, Jose-Luiz Stape, Henrique Ferraço Scolforo, Guerric le Maire:
Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data. IGARSS 2022: 7301-7304 - [i11]Rémi Cresson, Nicolas Narçon, Raffaele Gaetano, Aurore Dupuis, Yannick Tanguy, Stéphane May, Benjamin Commandré:
Comparison of convolutional neural networks for cloudy optical images reconstruction from single or multitemporal joint SAR and optical images. CoRR abs/2204.00424 (2022) - 2021
- [j19]Alessandro Michele Censi, Dino Ienco, Yawogan Jean Eudes Gbodjo, Ruggero Gaetano Pensa, Roberto Interdonato, Raffaele Gaetano:
Attentive Spatial Temporal Graph CNN for Land Cover Mapping From Multi Temporal Remote Sensing Data. IEEE Access 9: 23070-23082 (2021) - [j18]Yawogan Jean Eudes Gbodjo, Olivier Montet, Dino Ienco, Raffaele Gaetano, Stéphane Dupuy:
Multisensor Land Cover Classification With Sparsely Annotated Data Based on Convolutional Neural Networks and Self-Distillation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11485-11499 (2021) - 2020
- [j17]Dino Ienco, Yawogan Jean Eudes Gbodjo, Raffaele Gaetano, Roberto Interdonato:
Weakly Supervised Learning for Land Cover Mapping of Satellite Image Time Series via Attention-Based CNN. IEEE Access 8: 179547-179560 (2020) - [j16]Patrick Calvano Kuchler, Agnès Bégué, Margareth Simões, Raffaele Gaetano, Damien Arvor, Rodrigo P. D. Ferraz:
Assessing the optimal preprocessing steps of MODIS time series to map cropping systems in Mato Grosso, Brazil. Int. J. Appl. Earth Obs. Geoinformation 92: 102150 (2020) - [j15]Roberto Interdonato, Raffaele Gaetano, Danny Lo Seen, Mathieu Roche, Giuseppe Scarpa:
Extracting multilayer networks from Sentinel-2 satellite image time series. Netw. Sci. 8(S1): S26-S42 (2020) - [j14]Stéphane Dupuy, Laurence Defrise, Valentine Lebourgeois, Raffaele Gaetano, Perrine Burnod, Jean-Philippe Tonneau:
Analyzing Urban Agriculture's Contribution to a Southern City's Resilience through Land Cover Mapping: The Case of Antananarivo, Capital of Madagascar. Remote. Sens. 12(12): 1962 (2020) - [j13]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano, Babacar Ndao:
Object-Based Multi-Temporal and Multi-Source Land Cover Mapping Leveraging Hierarchical Class Relationships. Remote. Sens. 12(17): 2814 (2020) - [c34]Dino Ienco, Roberto Interdonato, Raffaele Gaetano:
Supervised Level-Wise Pretraining for Sequential Data Classification. ICONIP (5) 2020: 449-457 - [i10]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano:
Fine grained classification for multi-source land cover mapping. CoRR abs/2004.01963 (2020) - [i9]Dino Ienco, Yawogan Jean Eudes Gbodjo, Roberto Interdonato, Raffaele Gaetano:
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation. CoRR abs/2004.14672 (2020)
2010 – 2019
- 2019
- [j12]Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano, Giuseppe Ruello, Giuseppe Scarpa:
Fast Super-Resolution of 20 m Sentinel-2 Bands Using Convolutional Neural Networks. Remote. Sens. 11(22): 2635 (2019) - [c33]Rémi Cresson, Dino Ienco, Raffaele Gaetano, Kenji Ose, Dinh Ho Tong Minh:
Optical image gap filling using deep convolutional autoencoder from optical and radar images. IGARSS 2019: 218-221 - [c32]Dino Ienco, Raffaele Gaetano, Roberto Interdonato, Kenji Ose, Dinh Ho Tong Minh:
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification. IGARSS 2019: 4881-4884 - [c31]Yawogan Jean Eudes Gbodjo, Louise Leroux, Raffaele Gaetano, Babacar Ndao:
RNN-based Multi-Source Land Cover Mapping: An Application to West African Landscape. MACLEAN@PKDD/ECML 2019 - [i8]Dino Ienco, Roberto Interdonato, Raffaele Gaetano:
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification. CoRR abs/1911.01071 (2019) - [i7]Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano, Babacar Ndao, Stéphane Dupuy:
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships. CoRR abs/1911.08815 (2019) - 2018
- [j11]Dinh Ho Tong Minh, Dino Ienco, Raffaele Gaetano, Nathalie Lalande, Emile Ndikumana, Faycal Osman, Pierre Maurel:
Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1. IEEE Geosci. Remote. Sens. Lett. 15(3): 464-468 (2018) - [j10]Giuseppe Scarpa, Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano:
A CNN-Based Fusion Method for Feature Extraction from Sentinel Data. Remote. Sens. 10(2): 236 (2018) - [j9]Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson:
A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery. Remote. Sens. 10(11): 1746 (2018) - [j8]Paola Benedetti, Dino Ienco, Raffaele Gaetano, Kenji Ose, Ruggero G. Pensa, Stéphane Dupuy:
M3Fusion: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4939-4949 (2018) - [c30]Antonio Marra, Massimiliano Gargiulo, Giuseppe Scarpa, Raffaele Gaetano:
Estimating the NDVI from SAR by Convolutional Neural Networks. IGARSS 2018: 1954-1957 - [c29]Massimiliano Gargiulo, Antonio Mazza, Raffaele Gaetano, Giuseppe Ruello, Giuseppe Scarpa:
A CNN-Based Fusion Method for Super-Resolution of Sentinel-2 Data. IGARSS 2018: 4713-4716 - [i6]Paola Benedetti, Dino Ienco, Raffaele Gaetano, Kenji Ose, Ruggero G. Pensa, Stéphane Dupuy:
M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion. CoRR abs/1803.01945 (2018) - [i5]Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson:
MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping. CoRR abs/1806.11452 (2018) - [i4]Roberto Interdonato, Dino Ienco, Raffaele Gaetano, Kenji Ose:
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn. CoRR abs/1809.07589 (2018) - [i3]Dino Ienco, Raffaele Gaetano, Roberto Interdonato, Kenji Ose, Dinh Ho Tong Minh:
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification. CoRR abs/1812.05530 (2018) - 2017
- [j7]Dino Ienco, Raffaele Gaetano, Claire Dupaquier, Pierre Maurel:
Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks. IEEE Geosci. Remote. Sens. Lett. 14(10): 1685-1689 (2017) - [c28]Raffaele Gaetano, Davide Cozzolino, Luca D'Amiano, Luisa Verdoliva, Giovanni Poggi:
Fusion of sar-optical data for land cover monitoring. IGARSS 2017: 5470-5473 - [i2]Dino Ienco, Raffaele Gaetano, Claire Dupaquier, Pierre Maurel:
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks. CoRR abs/1704.04055 (2017) - [i1]Dinh Ho Tong Minh, Dino Ienco, Raffaele Gaetano, Nathalie Lalande, Emile Ndikumana, Faycal Osman, Pierre Maurel:
Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1. CoRR abs/1708.03694 (2017) - 2015
- [j6]Luisa Verdoliva, Raffaele Gaetano, Giuseppe Ruello, Giovanni Poggi:
Optical-Driven Nonlocal SAR Despeckling. IEEE Geosci. Remote. Sens. Lett. 12(2): 314-318 (2015) - [j5]Stanislav Mikes, Michal Haindl, Giuseppe Scarpa, Raffaele Gaetano:
Benchmarking of Remote Sensing Segmentation Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(5): 2240-2248 (2015) - [j4]Raffaele Gaetano, Giuseppe Masi, Giovanni Poggi, Luisa Verdoliva, Giuseppe Scarpa:
Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 53(6): 2987-3004 (2015) - [c27]Giuseppe Masi, Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
Superpixel-based segmentation of remote sensing images through correlation clustering. IGARSS 2015: 1028-1031 - [c26]Giuseppe Masi, Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
A ground truth design tool for multiresolution images. IGARSS 2015: 4999-5002 - 2014
- [j3]Raffaele Gaetano, Donato Amitrano, Giuseppe Masi, Giovanni Poggi, Giuseppe Ruello, Luisa Verdoliva, Giuseppe Scarpa:
Exploration of Multitemporal COSMO-SkyMed Data via Interactive Tree-Structured MRF Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(7): 2763-2775 (2014) - [c25]Luisa Verdoliva, Donato Amitrano, Raffaele Gaetano, Giuseppe Ruello, Giovanni Poggi:
SAR despeckling guided by an optical image. IGARSS 2014: 3698-3701 - [c24]Raffaele Gaetano, Donato Amitrano, Giuseppe Masi, Giovanni Poggi, Giuseppe Ruello, Luisa Verdoliva, Giuseppe Scarpa:
Interactive segmentation of high resolution synthetic aperture radar data by tree-structured MRF. IGARSS 2014: 3734-3737 - 2013
- [c23]Raffaele Gaetano, Béatrice Pesquet-Popescu, Caroline Chaux:
A convex optimization approach for image resolution enhancement from compressed representations. DSP 2013: 1-8 - [c22]Giuseppe Masi, Giuseppe Scarpa, Raffaele Gaetano, Giovanni Poggi:
A Watershed-Based Segmentation Technique for Multiresolution Data. ICIAP (1) 2013: 241-250 - [c21]Giuseppe Scarpa, Giuseppe Masi, Raffaele Gaetano, Luisa Verdoliva, Giovanni Poggi:
Dynamic Hierarchical Segmentation of Remote Sensing Images. ICIAP (1) 2013: 371-380 - [p1]Mounir Kaaniche, Raffaele Gaetano, Marco Cagnazzo, Béatrice Pesquet-Popescu:
Disparity Estimation Techniques. Emerging Technologies for 3D Video 2013: 81-101 - 2012
- [c20]Raffaele Gaetano, Giovanni Chierchia, Béatrice Pesquet-Popescu:
Non-Local smoothness constraints for disparity estimation in a variational framework. EUSIPCO 2012: 1144-1148 - [c19]Raffaele Gaetano, Giuseppe Masi, Giuseppe Scarpa, Giovanni Poggi:
A marker-controlled watershed segmentation: Edge, mark and fill. IGARSS 2012: 4315-4318 - [c18]Giuseppe Scarpa, Giuseppe Masi, Luisa Verdoliva, Giovanni Poggi, Raffaele Gaetano:
Recursive-TFR Algorithm for Segmentation of Remotely Sensed Images. SITIS 2012: 174-181 - [c17]Raffaele Gaetano, Giovanni Chierchia, Béatrice Pesquet-Popescu:
Parallel implementations of a disparity estimation algorithm based on a Proximal splitting method. VCIP 2012: 1-6 - 2011
- [c16]Raffaele Gaetano, Josiane Zerubia, Giuseppe Scarpa, Giovanni Poggi:
Morphological road segmentation in urban areas from high resolution satellite images. DSP 2011: 1-8 - [c15]Raffaele Gaetano, Béatrice Pesquet-Popescu:
OpenCL implementation of motion estimation for cloud video processing. MMSP 2011: 1-6 - 2010
- [c14]Raffaele Gaetano, Giuseppe Scarpa, Tamás Szirányi:
Graph-based Analysis of Textured Images for Hierarchical Segmentation. BMVC 2010: 1-11 - [c13]Giuseppe Masi, Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Dynamic segmentation for image information mining. IGARSS 2010: 1992-1995
2000 – 2009
- 2009
- [j2]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Hierarchical Texture-Based Segmentation of Multiresolution Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2129-2141 (2009) - [j1]Giuseppe Scarpa, Raffaele Gaetano, Michal Haindl, Josiane Zerubia:
Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation. IEEE Trans. Image Process. 18(8): 1830-1843 (2009) - [c12]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Recursive Texture Fragmentation and Reconstruction Segmentation Algorithm Applied to VHR Images. IGARSS (4) 2009: 101-104 - [c11]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Advances in Texture-based Segmentation of High Resolution Remote Sensing Imagery. IGARSS (4) 2009: 105-108 - [c10]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Texture-Based Segmentation of Very High Resolution Remote-Sensing Images. ISDA 2009: 578-583 - 2008
- [b1]Raffaele Gaetano:
Hierarchical Models for Image Segmentation: from Color to Texture. University of Naples Federico II, Italy, 2008 - [c9]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi, Josiane Zerubia:
Unsupervised hierarchical image segmentation based on the TS-MRF model and fast Mean-Shift clustering. EUSIPCO 2008: 1-5 - [c8]Giuseppe Scarpa, Raffaele Gaetano, Giovanni Poggi:
Texture image segmentation by hierarchical modeling. EUSIPCO 2008: 1-5 - [c7]Raffaele Gaetano, Gabriele Moser, Giovanni Poggi, Giuseppe Scarpa, Sebastiano B. Serpico:
Region-Based Classification of Multisensor Optical-SAR Images. IGARSS (4) 2008: 81-84 - 2007
- [c6]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
A hierarchical segmentation algorithm for multiresolution satellite images. IGARSS 2007: 1885-1888 - 2006
- [c5]Marco Cagnazzo, Raffaele Gaetano, Sara Parrilli, Luisa Verdoliva:
Region based compression of multispectral images by classified KLT. EUSIPCO 2006: 1-5 - [c4]Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
Identification of image structure by the mean shift procedure for hierarchical MRF-based image segmentation. EUSIPCO 2006: 1-4 - [c3]Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
Hierarchical Mrf-Based Segmentation of Remote-Sensing Images. ICIP 2006: 1121-1124 - [c2]Marco Cagnazzo, Raffaele Gaetano, Sara Parrilli, Luisa Verdoliva:
Adaptive Region-Based Compression of Multispectral Images. ICIP 2006: 3249-3252 - 2005
- [c1]Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
Multitemporal image classification with automatic building of tree-structured MRF models. EUSIPCO 2005: 1-4
Coauthor Index
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