Remote and Distributed Sensing | Doctoral Program - Information Engineering and Computer Science

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

72 publications for 20 currently enrolled students

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

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

A weakly supervised transfer learning approach for radar sounder data segmentation
Hoyo, Garcia; Donini, E.; Bovolo, F. in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 61, (2023), p. 450101801-450101818. - Publication URL . - DOI: 10.1109/TGRS.2023.3252939

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
[other topics: Signal Processing and Recognition

Effectiveness of transferring ultrasound deep learning models from adults to pediatrics for frame based pneumonia classification
Thompson, Russell; Khan, Umair; Li, Jason; Etter, Lauren; Camelo, Ingrid; Pieciak, Rachel; Castro-Aragon, Ilse; Setty, Bindu; Gill, Christopher; Demi, Libertario; Betke, Margrit in ASA meetings, Chicago: ASA, 2023, p. A189-A189. - (THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA; 3_supplement). Proceedings of: ASA meeting, Chicago, 2023. - DOI: 10.1121/10.0018616
[other topics: Signal Processing and Recognition

Coronavirus disease 2019 patients prognostic stratification based on low complex lung ultrasound video compression
Khan, Umair; Afrakhteh, Sajjad; Mento, Federico; Smargiassi, Andrea; Inchingolo, Riccardo; Tursi, Francesco; Narvena, Veronica; Perrone, Tiziano; Iacca, Giovanni; Demi, Libertario in ASA meetings, Chicago: ASA, 2023, p. A189-A189. - (THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA; 3_supplement). Proceedings of: ASA meeting, Chicago, 2023. - DOI: 10.1121/10.0018617
[other topics: Signal Processing and Recognition

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

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

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 Multi-Feature Hyper-Temporal Change Vector Analysis Method for Change Detection in Multi-Annual Time Series of HR Satellite Images
Meshkini, Khatereh; Bovolo, Francesca; Bruzzone, Lorenzo in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA: IEEE, 2023, p. 8315-8318. - ISBN: 979-8-3503-2010-7. Proceedings of: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 16th July-21th July 2023. - Publication URL . - DOI: 10.1109/IGARSS52108.2023.10282667

A convolutional neural network approach to the detection of LC transitions in multi-annual satellite image time series
Meshkini, Khatereh; Bovolo, Francesca; Bruzzone, Lorenzo in Image and Signal Processing for Remote Sensing XXIX, Amsterdam, Netherlands: SPIE Sensors + Imaging, 2023, p. 30. - ISBN: 9781510666955. Proceedings of: SPIE Sensors + Imaging, Amsterdam, Netherlands, 3th September-6th September 2023. - Publication URL . - DOI: 10.1117/12.2683720

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

Can Data from One Medical Center be Enough to Generalize Lung Ultrasound Pattern Classification? A Multi-Center Domain Generalization Study
Khan, Umair; Torri, Elena; Smargiassi, Andrea; Inchingolo, Riccardo; Demi, Libertario in 2023 IEEE International Ultrasonics Symposium (IUS), Montreal Canada: IEEE, 2023. Proceedings of: IEEE Symposium (IUS) Ultrasonics, Montreal, QC, Canada, 3rd September - 8th September 2023. - DOI: 10.1109/IUS51837.2023.10307947
[other topics: Signal Processing and Recognition

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

Lung ultrasound patterns analysis at video and prognostic level in a resource-constrained setting
Khan, Umair; Afrakhteh, Sajjad; Mento, Federico; Smargiassi, Andrea; Inchingolo, Riccardo; Tursi, Francesco; Narvena, Veronica; Perrone, Tiziano; Iacca, Giovanni; Demi, Libertario in 2023 IEEE International Ultrasonics Symposium (IUS), Montreal Canada: IEEE, 2023. Proceedings of: IEEE Symposium (IUS) Ultrasonics, Montreal, QC, Canada, 3rd September - 8th September 2023. - DOI: 10.1109/IUS51837.2023.10306694
[other topics: Signal Processing and Recognition

A Novel Weighted Majority Voting-Based Ensemble Framework for Lung Ultrasound Pattern Classification in Pneumonia Patients
Khan, Umair; Smargiassi, Andrea; Inchingolo, Riccardo; Demi, Libertario in 2023 IEEE International Ultrasonics Symposium (IUS), Montreal Canada: IEEE, 2023. Proceedings of: IEEE Symposium (IUS) Ultrasonics, Montreal, QC, Canada, 3rd September - 8th September 2023. - DOI: 10.1109/IUS51837.2023.10308194
[other topics: Signal Processing and Recognition

Investigating effective transfer of deep learning models from adults to children for lung ultrasound data analysis
Thompson, Russell; Khan, Umair; Li, Jason; Etter, P. Lauren; Camello, Ingrid; Pieciak, C; Rachel, ; Castro-Aragon, Ilse; Setty, Bindu; Gill, C. Gill; Demi, Libertario; Betke, Margrit in 2023 IEEE International Ultrasonics Symposium (IUS), Montreal, QC, Canada: IEEE, 2023. Proceedings of: 2023 IEEE International Ultrasonics Symposium (IUS), Montreal, QC, Canada, 3rd September - 8th September 2023. - DOI: 10.1109/IUS51837.2023.10306962
[other topics: Signal Processing and Recognition

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
[other topics: Signal Processing and Recognition

Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression
Khan, Umair; Afrakhteh, Sajjad; Mento, Federico; Mert, Gizem; Smargiassi, Andrea; Inchingolo, Riccardo; Tursi, Francesco; Macioce, Veronica Narvena; Perrone, Tiziano; Iacca, Giovanni; Demi, Libertario in COMPUTERS IN BIOLOGY AND MEDICINE, v. 2023, (2023). - DOI: 10.1016/j.compbiomed.2023.107885
[other topics: Signal Processing and Recognition

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, (2023). - 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

Multicenter Study on Lung Ultrasound COVID-19 and Post-COVID-19 Patients and On the Impact of Pixel Resolution on Automated Scoringof Lung Ultrasound Images From COVID-19 Patients
Demi, Libertario; Mento, Federico; Khan, Umair; Nicolussi, Lucrezia; Smargiassi, Andrea; Inchigolo, Riccardo; Perrone, Tiziano in AIUM Proceedings, San Diego: AIUM, 2022. - (JOURNAL OF ULTRASOUND IN MEDICINE; S1). Proceedings of: AIUM, San Diego, 2022. - DOI: 10.1002/jum.16028
[other topics: Signal Processing and Recognition

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 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. 1-13. - DOI: 10.1109/tgrs.2022.3179288

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). - DOI: 10.1109/TGRS.2022.3215020

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. 1-14. - DOI: 10.1109/tgrs.2022.3154390

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). - DOI: 10.1109/TGRS.2022.3168697

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

Deep Learning-based Classification of Reduced Lung Ultrasound Data from COVID-19 Patients
Khan, Umair; Mento, Federico; Giacomaz, Lucrezia Nicolussi; Trevisan, Riccardo; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Demi, Libertario in IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v. 2022, (2022), p. 1-1. - DOI: 10.1109/TUFFC.2022.3161716
[other topics: Signal Processing and Recognition

On the impact of pixel resolution on automated scoring of lung ultrasound images from coronavirus disease 2019 patients
Khan, Umair; Mento, Federico; Giacomaz, Lucrezia N.; Trevisan, Riccardo; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Demi, Libertario in ASA meetings, Denver: ASA, 2022, p. A112-A112. - (THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA; 4). Proceedings of: ASA meeting, Denver, 2022. - DOI: 10.1121/10.0010819
[other topics: Signal Processing and Recognition

Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients
Khan, Umair; Mento, Federico; Giacomaz, Lucrezia Nicolussi; Trevisan, Riccardo; Demi, Libertario; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano in POMA, Denver: ASA, 2022, p. 020003. - (PROCEEDINGS OF MEETINGS ON ACOUSTICS). Proceedings of: ASA meetings, Denver, 2022. - DOI: 10.1121/2.0001612
[other topics: Signal Processing and Recognition

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

State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses
Mento, Federico; Khan, Umair; Faita, Francesco; Smargiassi, Andrea; Inchingolo, Riccardo; Perrone, Tiziano; Demi, Libertario in ULTRASOUND IN MEDICINE AND BIOLOGY, v. 2022, (2022). - DOI: 10.1016/j.ultrasmedbio.2022.07.007
[other topics: Signal Processing and Recognition

Automatic Large-Scale Precise Mapping and Monitoring of Agricultural Fields at Country Level With Sentinel-2 SITS
Solano-Correa, Y. T.; Meshkini, K.; Bovolo, F.; Bruzzone, L. in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 15, (2022), p. 3131-3145. - Publication URL . - DOI: 10.1109/JSTARS.2022.3164547

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

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

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. 374. - DOI: 10.3390/healthcare10020374

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
[other topics: Signal Processing and Recognition

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

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

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

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. - DOI: 10.35711/aimi.v3.i2.42

A 3D CNN APPROACH FOR CHANGE DETECTION IN HR SATELLITE IMAGE TIME SERIES BASED ON A PRETRAINED 2D CNN
Meshkini, K.; Bovolo, F.; Bruzzone, L. in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, francia: ISPRS, 2022, p. 143-150. - (INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES; B3, 2022). Proceedings of: XXIV international Society for Photogrammetry and Remote Sensing (ISPRS) Congress, Nice, France, 6-11 June 2022. - Publication URL . - DOI: 10.5194/isprs-archives-XLIII-B3-2022-143-2022

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

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

An Unsupervised Deep Learning Method for the Super-Resolution of Radar Sounder Data
Donini, Elena; Kasibovic, Amar; Garcia, Miguel Hoyo; Bruzzone, Lorenzo; Bovolo, Francesca in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, New York: IEEE, 2022, p. 1696-1699. - ISBN: 978-1-6654-2792-0. Proceedings of: IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. - Publication URL . - DOI: 10.1109/IGARSS46834.2022.9884343

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

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

Automatic Segmentation of Ice Shelves with Deep Learning
Garcia, Miguel Hoyo; Donini, Elena; Bovolo, Francesca in IEEE 2021 Int. Geoscience and Remote Sensing Symposium, New york: IEEE, 2021, p. 4833-4836. - ISBN: 978-1-6654-0369-6. Proceedings of: IGARSS 2021, Brussels, Belgium, 12-16 July 2021. - DOI: 10.1109/IGARSS47720.2021.9553610

An Unsupervised Change Detection Approach for Dense Satellite Image Time Series Using 3D CNN
Meshkini, Khatereh; Bovolo, Francesca; Bruzzone, Lorenzo in IEEE 2021 Int. Geoscience and Remote Sensing Symposium, New York, Stati Uniti: IEEE, 2021, p. 4336-4339. - ISBN: 978-1-6654-0369-6. Proceedings of: IGARSS 2021, Brussels, Belgium, 12-16 July 2021. - Publication URL . - DOI: 10.1109/IGARSS47720.2021.9553271

Transfer learning for the semantic segmentation of cryoshpere radargrams
Hoyo Garcia, M.; Donini, E.; Bovolo, F. in Proceedings of SPIE - The International Society for Optical Engineering, Bellingham, USA: SPIE, 2021. - (PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING). - ISBN: 9781510645684. Proceedings of: Image and Signal Processing for Remote Sensing XXVII 2021, esp, 13-18 September, 2021. - Publication URL . - DOI: 10.1117/12.2600237

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

Generation of Global Surface and Shallow Subsurface Images of Mars by Radar Sounders Data
Hoyo García, Miguel; Carrer, Leonardo; Bruzzone, Lorenzo; Bovolo, Francesca in Vol. 15, EPSC2021-319, 2021, Göttingen, Germany: EPSC, 2021. Proceedings of: Europlanet Science Congress 2021, Online, 13-24/09/2021. - Publication URL . - DOI: 10.5194/epsc2021-319

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

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

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

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

A land cover-driven approach for fitting satellite image time series in a change detection context
Solano-Correa, Y. T.; Meshkini, K.; Bovolo, F.; Bruzzone, L. in Proceedings of SPIE - The International Society for Optical Engineering, Belligham, USA: SPIE, 2020. - (PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING). - ISBN: 9781510638792. Proceedings of: Image and Signal Processing for Remote Sensing XXVI 2020, Virtual, 21-25 September 2020. - Publication URL . - DOI: 10.1117/12.2573942

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 Marialudovicamaria.beati [at] unitn.itwebpage
Carcereri, Danieldaniel.carcereri [at] unitn.itwebpage
Cortellazzi, Marcomarco.cortellazzi [at] unitn.itwebpage
Dal Corso, Jordyjordy.dalcorso [at] unitn.itwebpage
De Rosa, Lauralaura.derosa [at] unitn.itwebpage
Fatima, Noreennoreen.fatima [at] unitn.itwebpage
Ferrari, Mattiamattia.ferrari-2 [at] unitn.itwebpage
Ghosh, Raktimraktim.ghosh [at] unitn.itwebpage
Hoyo Garcia, Miguelmiguel.hoyogarcia [at] unitn.itwebpage
Khan, Umairumair.khan [at] unitn.itwebpage
Listiani, Indira Apriliaindira.listiani [at] unitn.itwebpage
Meshkini, Khaterehkhatereh.meshkini [at] unitn.itwebpage
Pandit, Prashantprashant.pandit [at] unitn.itwebpage
Perantoni, Gianmarcogianmarco.perantoni [at] unitn.itwebpage
Soprana, Enricoenrico.soprana [at] unitn.itwebpage
Usmani, Munazzamunazza.usmani [at] unitn.itwebpage
Weikmann, Giuliogiulio.weikmann [at] unitn.itwebpage
Yebasse, Milkisa Tesfayemilkisa.yebasse [at] unitn.itwebpage
Zhang, Jingjing.zhang-1 [at] unitn.itwebpage
Zheng, Yongjieyongjie.zheng [at] unitn.itwebpage