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Books and Theses
- 2016
[b1]Francescopaolo Sica:
Non-local methods for InSAR parameters estimation. University of Naples Federico II, Italy, 2016
Journal Articles
- 2024
- [j12]Andrea Pulella
, Pau Prats-Iraola, Francescopaolo Sica:
Multitask Learning for Phase Source Separation in InSAR Burst Modes. IEEE Trans. Geosci. Remote. Sens. 62: 1-21 (2024) - 2022
- [j11]Francescopaolo Sica, Francesco Calvanese, Giuseppe Scarpa, Paola Rizzoli:
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j10]Francescopaolo Sica, Sofie Bretzke, Andrea Pulella, José-Luis Bueso-Bello, Michele Martone, Pau Prats-Iraola, María José González Bonilla, Michael Schmitt, Paola Rizzoli:
InSAR Decorrelation at X-Band From the Joint TanDEM-X/PAZ Constellation. IEEE Geosci. Remote. Sens. Lett. 18(12): 2107-2111 (2021) - [j9]Andrea Pulella, Francescopaolo Sica:
Situational Awareness of Large Infrastructures Using Remote Sensing: The Rome-Fiumicino Airport during the COVID-19 Lockdown. Remote. Sens. 13(2): 299 (2021) - [j8]José-Luis Bueso-Bello, Michele Martone, Carolina González, Francescopaolo Sica, Paolo Valdo, Philipp Posovszky, Andrea Pulella, Paola Rizzoli:
The Global Water Body Layer from TanDEM-X Interferometric SAR Data. Remote. Sens. 13(24): 5069 (2021) - [j7]Francescopaolo Sica, Giorgia Gobbi, Paola Rizzoli, Lorenzo Bruzzone:
Φ-Net: Deep Residual Learning for InSAR Parameters Estimation. IEEE Trans. Geosci. Remote. Sens. 59(5): 3917-3941 (2021) - 2020
- [j6]Andrea Pulella, Rodrigo Aragão Santos, Francescopaolo Sica, Philipp Posovszky, Paola Rizzoli:
Multi-Temporal Sentinel-1 Backscatter and Coherence for Rainforest Mapping. Remote. Sens. 12(5): 847 (2020) - 2019
- [j5]Antonio Mazza, Francescopaolo Sica, Paola Rizzoli, Giuseppe Scarpa:
TanDEM-X Forest Mapping Using Convolutional Neural Networks. Remote. Sens. 11(24): 2980 (2019) - 2018
- [j4]Francescopaolo Sica, Davide Cozzolino, Luisa Verdoliva, Giovanni Poggi:
The Offset-Compensated Nonlocal Filtering of Interferometric Phase. Remote. Sens. 10(9): 1359 (2018) - [j3]Michele Martone, Francescopaolo Sica, Carolina González, José-Luis Bueso-Bello, Paolo Valdo, Paola Rizzoli:
High-Resolution Forest Mapping from TanDEM-X Interferometric Data Exploiting Nonlocal Filtering. Remote. Sens. 10(9): 1477 (2018) - [j2]Francescopaolo Sica, Davide Cozzolino, Xiao Xiang Zhu, Luisa Verdoliva, Giovanni Poggi:
InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration. IEEE Trans. Geosci. Remote. Sens. 56(6): 3456-3467 (2018) - 2015
- [j1]Francescopaolo Sica, Diego Reale, Giovanni Poggi, Luisa Verdoliva, Gianfranco Fornaro:
Nonlocal Adaptive Multilooking in SAR Multipass Differential Interferometry. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(4): 1727-1742 (2015)
Conference and Workshop Papers
- 2024
- [c17]Andrea Pulella, Francescopaolo Sica, Pau Prats-Iraola:
Supervised Multi-Task Learning for Tracking Inland Glacier Flows Using Sentinel-1 Tops Data. IGARSS 2024: 417-420 - [c16]Francescopaolo Sica, Nils Foix-Colonier, Joel A. Amao Oliva:
Self-Supervised Joint SAR Image Compression and Despeckling. IGARSS 2024: 2188-2190 - [c15]Francescopaolo Sica, Tim Löffler, Michael Schmitt:
Building Damage Assessment Over Ukraine Using SAR Time Series. IGARSS 2024: 2656-2658 - 2023
- [c14]Francescopaolo Sica, Pavan Muguda Sanjeevamurthy, Michael Schmitt:
Self-Supervised Learning for InSAR Phase and Coherence Estimation. IGARSS 2023: 722-725 - 2022
- [c13]Francescopaolo Sica, Andrea Pulella, Carlos Villamil Lopez, Harald Anglberger, Ronny Hänsch:
Generalization in Object Recognition from SAR Imagery. IGARSS 2022: 1007-1010 - [c12]Philipp Sibler, Francescopaolo Sica, Michael Schmitt:
Deep Learning-Based SAR Interferogram Synthesis from Raster and Land Cover Data. IGARSS 2022: 5236-5239 - 2021
- [c11]José-Luis Bueso-Bello, Andrea Pulella, Francescopaolo Sica, Paola Rizzoli:
Deep Learning for Mapping the Amazon Rainforest with TanDEM-X. IGARSS 2021: 1549-1552 - 2020
- [c10]Francescopaolo Sica, Sofie Bretzke, Andrea Pulella, Michele Martone, José-Luis Bueso-Bello, María José González Bonilla, Paola Rizzoli:
Modeling Temporal Decorrelation at X-Band by Combining Tandem-X and PAZ Insar Data. IGARSS 2020: 355-358 - 2019
- [c9]Antonio Mazza, Francescopaolo Sica:
Deep Learning Solutions for Tandem-X-Based Forest Classification. IGARSS 2019: 2631-2634 - [c8]Francescopaolo Sica, Andrea Pulella, Paola Rizzoli:
Forest Classification and Deforestation Mapping by Means of Sentinel-1 InSAR Stacks. IGARSS 2019: 2635-2638 - [c7]Francescopaolo Sica, Nicola Gollin:
Analysis Of Offset-Compensated Nonlocal Filtering for InSAR DEM Generation. IGARSS 2019: 5201-5204 - 2018
- [c6]Paola Rizzoli, José-Luis Bueso-Bello, Andrea Pulella, Francescopaolo Sica, Manfred Zink:
A Novel Approach to Monitor Deforestation in the Amazon Rainforest by Means of Sentinel-1 and Tandem-X Data. IGARSS 2018: 192-195 - [c5]Francescopaolo Sica, Michele Martone, Muriel Pinheiro, Davide Cozzolino, Pau Prats-Iraola, Giovanni Poggi:
Exploiting Nonlocal Filters for High-Resolution Insar Dem Generation. IGARSS 2018: 2188-2191 - [c4]Daniela Borla Tridon, Francescopaolo Sica, Francesco De Zan, Markus Bachmann, Gerhard Krieger:
Observation Strategy and Flight Configuration for Monitoring Earth Dynamics with the Tandem-L Mission. IGARSS 2018: 5651-5654 - 2015
- [c3]Diego Reale, Walter Franzé, Antonio Pauciullo, Francescopaolo Sica, Simona Verde, Gianfranco Fornaro:
Detection of single scatterers in multilook SAR Tomography. JURSE 2015: 1-4 - 2014
- [c2]Francescopaolo Sica, Luciano Alparone, Fabrizio Argenti, Gianfranco Fornaro, Alessandro Lapini, Diego Reale:
Benefits of blind speckle decorrelation for InSAR processing. SAR 2014: 92430D - 2012
- [c1]Giovanni Poggi, Francescopaolo Sica, Luisa Verdoliva, Gianfranco Fornaro, Diego Reale, Simona Verde:
Non-local methods for filtering interferometric SAR datasets. TyWRRS 2012: 136-139
Informal and Other Publications
- 2023
- [i2]Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch:
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation. CoRR abs/2310.19231 (2023) - 2019
- [i1]Antonio Mazza, Francescopaolo Sica:
Deep Learning Solutions for TanDEM-X-based Forest Classification. CoRR abs/1902.00274 (2019)
Coauthor Index
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