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

32 publications for 25 currently enrolled students

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

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

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

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

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

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

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 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

Differential Diagnosis of Lung Disease through Quantitative Lung Ultrasound Spectroscopy, an in vivo clinical study over 114 patients
Mento, Federico; Perpenti, Mattia; Barcellona, Giuliana; Perrone, Tiziano; Demi, Libertario in IEEE IUS 2023, Montreal: IEEE, 2023, p. 1-4. - ISBN: 979-8-3503-4645-9. Proceedings of: IEEE IUS 2023, Montreal, 03-08 September 2023. - Publication URL . - DOI: 10.1109/IUS51837.2023.10308226

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 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

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

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

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 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

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

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

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

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 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

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

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

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

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

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

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

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

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

 

Students

Atanasova, Milena Minchevamilena.atanasova [at] unitn.itwebpage
Beati, Ludovica Marialudovicamaria.beati [at] unitn.itwebpage
Cortellazzi, Marcomarco.cortellazzi [at] unitn.itwebpage
Dal Corso, Jordyjordy.dalcorso [at] unitn.itwebpage
De Rosa, Lauralaura.derosa [at] unitn.itwebpage
Dinesh, Devdev.dinesh [at] unitn.itwebpage
Fatima, Noreennoreen.fatima [at] unitn.itwebpage
Ferrari, Mattiamattia.ferrari-2 [at] unitn.itwebpage
Ghosh, Raktimraktim.ghosh [at] unitn.itwebpage
Giaccone, Lucaluca.giaccone [at] unitn.itwebpage
Goswami, Anurupaanurupa.goswami [at] unitn.itwebpage
Guo, Houcaihoucai.guo [at] unitn.itwebpage
Hueller, Jhonnyjhonny.hueller [at] unitn.itwebpage
Listiani, Indira Apriliaindira.listiani [at] unitn.itwebpage
Pandit, Prashantprashant.pandit [at] unitn.itwebpage
Perantoni, Gianmarcogianmarco.perantoni [at] unitn.itwebpage
Perpenti, Mattiamattia.perpenti [at] unitn.itwebpage
Sankaranarayanan, Aadhithyaa.sankaranarayanan [at] unitn.itwebpage
Sharma, Aanchalaanchal.sharma [at] unitn.itwebpage
Soprana, Enricoenrico.soprana [at] unitn.itwebpage
Wicklein, Jana Annikajanaannika.wicklein [at] unitn.itwebpage
Yebasse, Milkisa Tesfayemilkisa.yebasse [at] unitn.itwebpage
Zangrandi, Chiarachiara.zangrandi [at] unitn.itwebpage
Zhang, Jingjing.zhang-1 [at] unitn.itwebpage
Zheng, Yongjieyongjie.zheng [at] unitn.itwebpage