Remote and Distributed Sensing
The members of this research program have valuable expertise in different ICT sectors of primary importance for the development of advanced systems for environmental monitoring and land management. Their main goal is to develop scientific activities and applications in some of the key areas of the ICT for the environment. The most relevant technological and methodological components of the research program are: airborne and satellite remote sensing technology; signal processing and pattern recognition methodologies; data fusion techniques; radar technology; in-situ sensor technology; the Geographical Information System (GIS). The research group is committed to the development of scientific activities in the above mentioned areas, and works to integrate the methodologies and technologies of multisensory architectures to define effective systems for environmental monitoring. Most of all, the group aims to establish methodologies for the analysis of remote sensing data, and to define data fusion approaches for the integration of multi-temporal and multisensory images (e.g., SAR data, optical data, etc.), as well as ancillary data acquired by in-situ sensors. Attention is paid to the whole processing chain from data acquisition and pre-processing, to data analysis and data fusion, until product delivery to end-users and customized services based on GIS platforms.
Publications
54 publications for 17 currently enrolled students
Fusion of Remote Sensing and Citizen Science Information through Machine Learning for Geospatial Analysis
Fusion of Remote Sensing and Citizen Science Information through Machine Learning for Geospatial Analysis
Applications of Deep Learning Algorithms to Ultrasound Imaging Analysis in Preclinical Studies on In Vivo Animals
De Rosa, Laura; L'Abbate, Serena; Kusmic, Claudia; Faita, Francesco. Review of: L. De Rosa, S. L'abbate, C. Kusmic, F. Faita
in LIFE, 13 (8 2023), p. 1759. - DOI: 10.3390/life13081759
A Deep Learning Framework for the Estimation of Forest Height from Bistatic TanDEM-X Data
Carcereri, Daniel; Rizzoli, Paola; Ienco, Dino; Bruzzone, Lorenzo
in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 2023, (2023), p. 1-20. - Publication URL . - DOI: 10.1109/JSTARS.2023.3310209
Remote Sensing and Deep Learning to Understand Noisy OpenStreetMap
Usmani, Munazza; Bovolo, Francesca; Napolitano, Maurizio
in REMOTE SENSING, v. 15, n. 18 (2023), p. 4639-4657. - Publication URL . - DOI: 10.3390/rs15184639
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level
Khan, Umair; Afrakhteh, Sajjad; Mento, Federico; Fatima, Noreen; De Rosa, Laura; Custode, Leonardo Lucio; Azam, Zihadul; Torri, Elena; Soldati, Gino; Tursi, Francesco; Macioce, Veronica Narvena; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Iacca, Giovanni; Demi, Libertario
in ULTRASONICS, v. 2023, (2023), p. 106994. - DOI: 10.1016/j.ultras.2023.106994
A Dictionary-Based Integrated Simulation Approach to Model Large- and Small-Scale Coherent Surface Scattering Phenomena in Radar Sounder Data
Sbalchiero, Elisa; Cortellazzi, Marco; Thakur, Sanchari; Bruzzone, Lorenzo
in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 61, (2023), p. 1-19. - DOI: 10.1109/TGRS.2023.3317234
Towards global scale segmentation with OpenStreetMap and remote sensing
Usmani, Munazza; Napolitano, Maurizio; Bovolo, Francesca
in ISPRS OPEN JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 8, (2023), p. 10003101-10003112. - Publication URL . - DOI: 10.1016/j.ophoto.2023.100031
Subsurface signatures of bright terrain formation models on Ganymede by 3D radar sounder simulations
Sbalchiero, Elisa; Thakur, Sanchari; Cortellazzi, Marco; Bruzzone, Lorenzo
in ICARUS, v. 394, (2023), p. 115351. - DOI: 10.1016/j.icarus.2022.115351
Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data
Weikmann, G; Marinelli, D; Paris, C; Migdall, S; Gleisberg, E; Appel, F; Bach, H; Dowling, J; Bruzzone, L
in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 16, (2023), p. 6758-6775. - DOI: 10.1109/JSTARS.2023.3294107
A theoretical framework for unsupervised land cover change detection in dense satellite image time series
Listiani, Indira Aprilia; Bovolo, Francesca; Zanetti, Massimo
in Proc. SPIE 12733, Image and Signal Processing for Remote Sensing XXIX, 127330A, Bellingham, WA USA: SPIE DIGITAL LIBRARY, 2023, p. 11. - ISBN: 9781510666955. Proceedings of: SPIE, Amsterdam, Netherlands, 3-6 September 2023. - DOI: 10.1117/12.2679728
Oversample minority classes in Lung Ultrasound using Generative Adversarial Network
Fatima, Noreen; Mento, Federico; Demi, Libertario
in , Montreal, QC, Canada: 2023 IEEE International Ultrasonics Symposium (IUS), 2023. Proceedings of: International Ultrasonics Symposium (IUS), Montreal, QC, Canada, September 3-8, 2023. - Publication URL . - DOI: 10.1109/IUS51837.2023.10308323
A class-driven hierarchical ResNet for classification of multispectral remote sensing images
Weikmann, Giulio; Perantoni, Gianmarco; Bruzzone, Lorenzo
in Proceedings Volume 12733, Image and Signal Processing for Remote Sensing XXIX, Bellingham, Washington USA: SPIE, 2023, p. 16. - ISBN: 9781510666955. Proceedings of: Image and Signal Processing for Remote Sensing XXIX, 2023, Amsterdam, 4th-5th September 2023. - DOI: 10.1117/12.2679293
A deep multiple instance learning approach based on coarse labels for high-resolution land-cover mapping
Perantoni, Gianmarco; Bruzzone, Lorenzo
in Image and Signal Processing for Remote Sensing XXIX, Bellingham, Washington USA: SPIE, 2023. - (PROCEEDINGS OF SPIE). - ISBN: 9781510666955. Proceedings of: Image and Signal Processing for Remote Sensing XXIX, 2023, Amsterdam, 4th-5th September 2023. - Publication URL . - DOI: 10.1117/12.2679464
A Novel Statistical-based Aggregation Technique for Automatic Covid-19 LUS Data Scoring
Afrakhteh, Sajjad; Khan, Umair; Mento, Federico; Fatima, Noreen; De Rosa, Laura; Tursi, Francesco; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Iacca, Giovanni; Demi, Libertario
in , Trento, Italy: University of Trento, Italy, 2023. Proceedings of: International Lung Ultrasound Symposium (ILUS), Trento, Italy, 10-12 July 2023. - Publication URL
An Attention-Enhanced Feature Fusion Network (AeF2N) for Hyperspectral Image Classification
Zheng, Yongjie; Liu, Sicong; Bruzzone, L
in IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v. 2023, 20, (2023), p. 55110051-55110055. - Publication URL . - DOI: 10.1109/LGRS.2023.3320193
Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation
Troumpoukis, Antonis; Klampanos, Iraklis; Pantazi, Despina-Athanasia; Tsalapati, Eleni; Albughdadi, Mohanad; Alexe, Mihai; Baousis, Vasileios; Barrilero, Omar; Billière, Bryce; Bojor, Alexandra; Branco, Pedro; Bruzzone, Lorenzo; Chietera, Andreina; Fournand, Philippe; Hall, Richard; Hassan, David; Lazzarini, Michele; Luna, Adrian; Punjani, Dharmen; Stamoulis, George; Weikmann, Giulio; Ziółkowski, Marcin; Ziouvelou, Xenia; Koubarakis, Manolis; Karkaletsis, Vangelis
in IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService 2023), 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA: IEEE, 2023, p. 9-16. - ISBN: 979-8-3503-3379-4. Proceedings of: BigDataService 2023, Athens, Greece, 17th-20th July 2022. - Publication URL . - DOI: 10.1109/BigDataService58306.2023.00008
ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning
Appel, Florian; Bach, Heike; Migdall, Silke; Koubarakis, Manolis; Stamoulis, George; Bilidas, Dimitris; Pantazi, Despina-Athanasia; Bruzzone, Lorenzo; Paris, Claudia; Weikmann, Giulio
in Proceedings 26th International Conference on Extending Database Technology ( EDBT 2023 ), University of Konstanz 78457 Konstanz, Germany: OpenProceedings, 2023, p. 749-756. - (Open Proceedings; 3). Proceedings of: EDBT 2023, Ioannina, Greece, 28th-31st March 2023. - Publication URL . - DOI: 10.48786/edbt.2023.62
Network on or Off? Instant Global Binary Decisions over UWB with Flick
Soprana, E.; Trobinger, M.; Vecchia, D.; Picco, G. P.
in 22th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), New York: ACM, 2023, p. 261-273. - ISBN: 9798400701184. Proceedings of: IPSN, San Antonio, TX, USA, May 9-12, 2023. - DOI: 10.1145/3583120.3586967
Power of GIS Mapping: ATLAS Flood Maps 2022
Usmani, M.; Bhatti, H. M. T.; Bovolo, F.; Napolitano, M.
in 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK: Leibniz International Proceedings in Informatics (LIPIcs), 2023. - (LEIBNIZ INTERNATIONAL PROCEEDINGS IN INFORMATICS). Proceedings of: 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, 12-15 September 2023. - DOI: 10.4230/LIPIcs.GIScience.2023.75
Joint Learning Framework for Roads Semantic Segmentation from VHR and VGI Data
Usmani, Munazza; Bovolo, Francesca; Napolitano, Maurizio
in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA: IEEE, 2023. - ISBN: 979-8-3503-2010-7. Proceedings of: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, 16-21 July 2023. - DOI: 10.1109/IGARSS52108.2023.10282859
An Enhanced Unsupervised Feature Learning Framework For Radar Sounder Signal Segmentation
Ghosh, Raktim; Bovolo, Francesca
in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, USA: IEEE, 2023, p. 6920-6923. Proceedings of: IGARSS, USA, 16-21 July 2023. - DOI: 10.1109/igarss52108.2023.10281869
The Circulating miRNA Profile of Chronic Hepatitis D and B Patients Is Comparable but Differs from That of Individuals with HBeAg-Negative HBV Infection
Cavallone, D.; Ornos, E. D. B.; Ricco, G.; Oliveri, F.; Coco, B.; Colombatto, P.; De Rosa, L.; Dalmacio, L. M. M.; Bonino, F.; Brunetto, M. R.
in VIRUSES, v. 15, n. 11 (2023). - DOI: 10.3390/v15112257
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
Ding, Lei; Lin, Dong; Lin, Shaofu; Zhang, Jing; Cui, Xiaojie; Wang, Yuebin; Tang, Hao; Bruzzone, Lorenzo
in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 60, (2022), p. 441031301-441031313. - Publication URL . - DOI: 10.1109/TGRS.2022.3168697
Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images
Ding, Lei; Guo, Haitao; Liu, Sicong; Mou, Lichao; Zhang, Jing; Bruzzone, Lorenzo
in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 60, (2022), p. 562001401-562001414. - Publication URL . - DOI: 10.1109/tgrs.2022.3154390
GCFnet: Global Collaborative Fusion Network for Multispectral and Panchromatic Image Classification
Zhao, Hui; Liu, Sicong; Du, Qian; Bruzzone, Lorenzo; Zheng, Yongjie; Du, Kecheng; Tong, Xiaohua; Xie, Huan; Ma, Xiaolong
in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 60, (2022), p. 563281401-563281414. - Publication URL . - DOI: 10.1109/TGRS.2022.3215020
A Shallow-to-Deep Feature Fusion Network for {VHR} Remote Sensing Image Classification
Liu, Sicong; Zheng, Yongjie; Du, Qian; Bruzzone, Lorenzo; Samat, Alim; Tong, Xiaohua; Jin, Yanmin; Wang, Chao
in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 60, (2022), p. 541021301-541021313. - Publication URL . - DOI: 10.1109/tgrs.2022.3179288
A New SteatoScore in the Evaluation of Non-Alcoholic Liver Disease in Oncologic Patients
Cioni, Dania; Gabelloni, Michela; Sanguinetti, Andrea; De Rosa, Laura; Aringhieri, Giacomo; Tintori, Rachele; Candita, Gianvito; Febi, Maria; Faita, Francesco; Lencioni, Riccardo; Neri, Emanuele
in FRONTIERS IN ONCOLOGY, v. 12, (2022). - DOI: 10.3389/fonc.2022.873524
Effects of Different Scan Projections on the Quantitative Ultrasound-Based Evaluation of Hepatic Steatosis
De Rosa, Laura; Salvati, Antonio; Bonino, Ferruccio; Brunetto, Maurizia Rossana; Faita, Francesco
in HEALTHCARE, v. 10, n. 2 (2022), p. 37401-37411. - Publication URL . - DOI: 10.3390/healthcare10020374
Remote sensing and deep learning to understand OSM labelling
Usmani, M.; Bovolo, F.; Napolitano, M.
in The 4th International Electronic Conference on Remote Sensing, Svizzera: MDPI, 2022, p. 20-20. Proceedings of: The 4th International Electronic Conference on Remote Sensing, Virtual, 25–27 Jan 2022
Change detection analysis using remote sensing and openstreetmap by means of deep learning: A case study of Beirut
Usmani, M.; Napolitano, M.; Bovolo, F.
in State of the Map 2022, zenodo: zenodo, 2022. Proceedings of: State of the Map 2022, Florence, Italy, 19-22 August 2022. - Publication URL
Crop Water Availability Mapping in the Danube Basin Based on Deep Learning, Hydrological and Crop Growth Modelling
Migdall, Silke; Dotzler, Sandra; Gleisberg, Eva; Appel, Florian; Muerth, Markus; Bach, Heike; Weikmann, Giulio; Paris, Claudia; Marinelli, Daniele; Bruzzone, Lorenzo
in The 13th EFITA International Conference, Basel, CH: MDPI, 2022, p. 42.1-42.5. - (ENGINEERING PROCEEDINGS; 1). Proceedings of: EFITA 2021, Online, 25th-26th May 2021. - Publication URL . - DOI: 10.3390/engproc2021009042
Mapping Mediterranean maquis formations using Sentinel-2 time-series
Listiani, Indira Aprilia; Leloglu, Ugur Murat; Zeydanli, Ugur; Caliskan, Bilgehan Kaan
in ECOLOGICAL INFORMATICS, v. 71, (2022), p. 10181401-10181417. - Publication URL . - DOI: 10.1016/j.ecoinf.2022.101814
TransSounder: A Hybrid TransUNet-TransFuse Architectural Framework for Semantic Segmentation of Radar Sounder Data
Ghosh, R.; Bovolo, F.
in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 60, (2022), p. 1-13. - Publication URL . - DOI: 10.1109/TGRS.2022.3180761
Applications of artificial intelligence in lung ultrasound: Review of deep learning methods for COVID-19 fighting
De Rosa, Laura; L'Abbate, Serena; Kusmic, Claudia; Faita, Francesco. Review of: L. De Rosa, S. L'abbate, C. Kusmic, F. Faita
in ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING, 3 (2 2022), p. 42-54. - Publication URL . - DOI: 10.35711/aimi.v3.i2.42
ESA CCI High Resolution Land Cover: Methodology and EO Data Processing Chain
Bruzzone, L.; Bovolo, F.; Gamba, P.; Maggiolo, L.; Meshkini, K.; Moser, G.; Paris, C.; Perantoni, G.; Podsiadlo, I.; Solarna, D.; Sorriso, T.; Zanetti, M.
in ESA Living Planet Symposium, Italia: ESA, 2022. Proceedings of: ESA Living Planet Symposium, Bonn, Germany, 23-27 May 2022
A Hybrid CNN-Transformer Architecture for Semantic Segmentation of Radar Sounder data
Ghosh, Raktim; Bovolo, Francesca
in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, New York: IEEE, 2022, p. 1320-1323. - ISBN: 978-1-6654-2792-0. Proceedings of: IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. - DOI: 10.1109/IGARSS46834.2022.9883124
Change detection analysis using remote sensing and openstreetmap by means of deep learning: A case study of Beirut
Usmani, M.; Napolitano, M.; Bovolo, F.
in State of the Map 2022, zenodo: zenodo, 2022. Proceedings of: State of the Map 2022, Florence, Italy, 19-22 August 2022. - Publication URL
A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data
Perantoni, G; Bruzzone, L
in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 60, (2022), p. 1-15. - DOI: 10.1109/TGRS.2021.3091482
Non-invasive Quantification of Steatosis: A New Ultrasound based Model to Predict Fatty Liver Content
De Rosa, Laura; Salvati, Antonio; Bonino, Ferruccio; Brunetto, Maurizia Rossana; Demi, Libertario; Faita, Francesco
in IEEE IUS 2022, Venezia: IEEE, 2022, p. 1-4. - ISBN: 978-1-6654-6657-8. Proceedings of: IEEE IUS, Venice, 2022. - DOI: 10.1109/IUS54386.2022.9958648
Automatic Scoring of COVID-19 LUS Videos Using Cross-correlation-Based Features Aggregated from Frame-Level Confidence Levels Obtained by a Pre-trained Deep Neural Network
Afrakhteh, Sajjad; Mento, Federico; Khan, Umair; De Rosa, Laura; Fatima, Noreen; Azam, Zihadul; Tursi, Francesco; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Iacca, Giovanni; Demi, Libertario
in IEEE IUS 2022, Venezia: IEEE, 2022, p. 1-3. - ISBN: 978-1-6654-6657-8. Proceedings of: IEEE IUS, Venice, 2022. - DOI: 10.1109/IUS54386.2022.9957194
An FFT-based CNN-Transformer Encoder for Semantic Segmentation of Radar Sounder Signal
Ghosh, R; Bovolo, F
in Proceeding of SPIE Conference on Image and Signal Processing for Remote Sensing XXVIII, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA: SPIE-INT SOC OPTICAL ENGINEERING, 2022, p. 27. - (PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING). - ISBN: 9781510655379. Proceedings of: SPIE Remote Sensing, Berlin, Germani, 5-8 September 2022. - DOI: 10.1117/12.2636693
Human‐to‐AI Interrater Agreement for Lung Ultrasound Scoring in COVID‐19 Patients
Fatima, Noreen; Mento, Federico; Zanforlin, Alessandro; Smargiassi, Andrea; Torri, Elena; Perrone, Tiziano; Demi, Libertario
in JOURNAL OF ULTRASOUND IN MEDICINE, v. 2022, (2022). - DOI: 10.1002/jum.16052
A multi-layer simulation technique for modeling large and small-scale scattering in radar sounder data
Cortellazzi, M.; Thakur, S.; Sbalchiero, E.; Bruzzone, L.
in Image and Signal Processing for Remote Sensing XXVIII, Bellingham, Washington USA: SPIE, 2022, p. 26. - ISBN: 9781510655379. Proceedings of: SPIE, Berlin, Germany, 5th-8th September 2022. - DOI: 10.1117/12.2638225
LARGE SCALE FOREST PARAMETER ESTIMATION THROUGH A DEEP LEARNING-BASED FUSION OF SENTINEL-2 AND TANDEM-X DATA
Carcereri, D; Rizzoli, P; Ienco, D; Bueso-Bello, Jl; Gonzalez, C; Puliti, S; Bruzzone, L
in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 345 E 47TH ST, NEW YORK, NY 10017 USA: IEEE, 2022, p. 5773-5776. - (IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS). - ISBN: 978-1-6654-2792-0. Proceedings of: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17/21, Luglio 2022. - DOI: 10.1109/IGARSS46834.2022.9884872
Remote sensing and deep learning to understand OSM labelling
Usmani, M.; Bovolo, F.; Napolitano, M.
in The 4th International Electronic Conference on Remote Sensing, Svizzera: MDPI, 2022, p. 20-20. Proceedings of: The 4th International Electronic Conference on Remote Sensing, Virtual, 25–27 Jan 2022
Water Stress Assessment in Austria based on Deep Learning and Crop Growth Modelling
Migdall, Silke; Dotzler, Sandra; Miesgang, Christian; Appel, Florian; Muerth, Markus; Bach, Heike; Weikmann, Giulio; Paris, Claudia; Marinelli, Daniele; Bruzzone, Lorenzo
in Proceedings of the 2021 conference on Big Data from Space:, Luxembourg: Publications Office of the European Union, 2021, p. 69-72. - (EUR). - ISBN: 978-92-76-37661-3. Proceedings of: BIdS'21, Virtual, 18th-20th May 2021. - Publication URL . - DOI: 10.2760/125905
Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project
Koubarakis, Manolis; Stamoulis, George; Bilidas, Dimitris; Ioannidis, Theofilos; George Mandilaras, George; Pantazi, George; Papadakis, George; Vlassov, Vladimir; Payberah, Amir H.; Wang, Tianze; Sheikholeslami, Sina; Haileselassie Hagos, Desta; Bruzzone, Lorenzo; Paris, Claudia; Weikmann, Giulio; Marinelli, Daniele; Eltoft, Torbjørn; Marinoni, Andrea; Kræmer, Thomas; Khaleghian, Salman; Ullah, Habib; Troumpoukis, Antonis; Kostopoulou, Nefeli Prokopaki; Konstantopoulos, Stasinos; Karkaletsis, Vangelis; Dowling, Jim; Kakantousis, Theofilos; Datcu, Mihai; Yao, Wei; Dumitru, Corneliu Octavian; Appel, Florian; Migdall, Silke; Muerth, Markus; Bach, Heike; Hughes, Nick; Everett, Alistair; Kiærbech, Ashild; Pedersen, Joakim Lillehaug; Arthurs, David; Fleming, Andrew; Cziferszky, Andreas
in Proceedings of the 2021 conference on Big Data from Space, Luxembourg: Publications Office of the European Union, 2021: Publications Office of the European Union, 2021. - (EUR). - ISBN: 978-92-76-37661-3. Proceedings of: Big Data from Space, Virtual Meeting, 18-20 May 2021. - Publication URL . - DOI: 10.2760/125905
Multi-year crop type mapping using pre-trained deep long-short term memory and Sentinel 2 image time series
Weikmann, Giulio; Paris, Claudia; Bruzzone, Lorenzo
in Image and Signal Processing for Remote Sensing 27th, Bellingham, Washington USA: SPIE, 2021, p. 118620O.1-118620O.11. - (PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING). - ISBN: 9781510645684. Proceedings of: Image and Signal Processing for Remote Sensing 27th, 2021, online (Spain), 13th-17th September 2021. - Publication URL . - DOI: 10.1117/12.2600559
A novel integrated radar sounder simulation technique for modelling large and small-scale surface scattering phenomena
Sbalchiero, E.; Thakur, S.; Cortellazzi, M.; Bruzzone, L.
in Proceedings of SPIE - The International Society for Optical Engineering, Madrid: SPIE, 2021, p. 29. - (PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING). - ISBN: 9781510645684. Proceedings of: Image and Signal Processing for Remote Sensing XXVII 2021, esp, 2021. - DOI: 10.1117/12.2599760
ExtremeEarth Meets Satellite Data From Space
Hagos, Desta Haileselassie; Kakantousis, Theofilos; Vlassov, Vladimir; Sheikholeslami, Sina; Wang, Tianze; Dowling, Jim; Paris, Claudia; Marinelli, Daniele; Weikmann, Giulio; Bruzzone, Lorenzo; Khaleghian, Salman; Kraemer, Thomas; Eltoft, Torbjørn; Marinoni, Andrea; Pantazi, Despina-Athanasia; Stamoulis, Georgios; Bilidas, Dimitris; Papadakis, George; Mandilaras, George; Koubarakis, Manolis; Troumpoukis, Antonis; Konstantopoulos, Stasinos; Muerth, Markus; Appel, Florian; Fleming, Andrew H; Cziferszky, Andreas
in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 2021, 14, (2021), p. 9038-9063. - Publication URL . - DOI: 10.1109/JSTARS.2021.3107982
TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification
Weikmann, Giulio; Paris, Claudia; Bruzzone, Lorenzo
in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 2021, 14, (2021), p. 4699-4708. - Publication URL . - DOI: 10.1109/JSTARS.2021.3073965
Large-Scale Precise Mapping of Agricultural Fields in Sentinel-2 Satellite Image Time Series
Solano-Correa, Yady Tatiana; Carcereri, Daniel; Bovolo, Francesca; Bruzzone, Lorenzo
in IEEE 2020 Int. Geoscience and Remote Sensing Symposium, Piscataway, NJ USA: IEEE, 2020, p. 2288-2291. - (IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS). - ISBN: 978-1-7281-6374-1. Proceedings of: IEEE 2020 Int. Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA - Virtual Meeting, 26 Sept.-2 Oct. 2020. - Publication URL . - DOI: 10.1109/IGARSS39084.2020.9323150
Monitoring of agricultural areas by using Sentinel 2 image time series and deep learning techniques
Paris, Claudia; Weikmann, Giulio; Bruzzone, Lorenzo
in Image and Signal Processing for Remote Sensing 26, Bellingham, Washington USA: SPIE, 2020, p. 115330K. - (PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING). - ISBN: 9781510638792. Proceedings of: Image and Signal Processing for Remote Sensing 26, Online Only, United Kingdom, 21st-25th September 2020. - Publication URL . - DOI: 10.1117/12.2574745
Students
 | Beati, Ludovica Maria | ludovicamaria.beati [at] unitn.it | webpage |
 | Carcereri, Daniel | daniel.carcereri [at] unitn.it | webpage |
| Cortellazzi, Marco | marco.cortellazzi [at] unitn.it | webpage |
| Dal Corso, Jordy | jordy.dalcorso [at] unitn.it | webpage |
| De Rosa, Laura | laura.derosa [at] unitn.it | webpage |
| Fatima, Noreen | noreen.fatima [at] unitn.it | webpage |
| Ferrari, Mattia | mattia.ferrari-2 [at] unitn.it | webpage |
| Ghosh, Raktim | raktim.ghosh [at] unitn.it | webpage |
| Listiani, Indira Aprilia | indira.listiani [at] unitn.it | webpage |
 | Pandit, Prashant | prashant.pandit [at] unitn.it | webpage |
| Perantoni, Gianmarco | gianmarco.perantoni [at] unitn.it | webpage |
| Soprana, Enrico | enrico.soprana [at] unitn.it | webpage |
| Usmani, Munazza | munazza.usmani [at] unitn.it | webpage |
| Weikmann, Giulio | giulio.weikmann [at] unitn.it | webpage |
| Yebasse, Milkisa Tesfaye | milkisa.yebasse [at] unitn.it | webpage |
| Zhang, Jing | jing.zhang-1 [at] unitn.it | webpage |
| Zheng, Yongjie | yongjie.zheng [at] unitn.it | webpage |