Conference papers
[1]
A. Sjölander, V. Belloni and A. Nascetti,
"A semi-autonomous labelling framework for cracked concrete imagery using deep-learning models,"
in XXV Nordic Concrete Research Symposium, Sandefjord, Norway, 2025, 2025.
[2]
Y. Jia et al.,
"Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?,"
in International Conference on Computer Vision (ICCV), Hawai'i Convention Center Oct 19 – 23th, 2025, Honolulu, Hawai'i, 2025.
[3]
V. Belloni, A. Sjölander and A. Nascetti,
"Data collection using mobile mapping systems for automated tunnel inspections,"
in Proceedings of the ITA-AITES World Tunnel Congress 2025 (WTC 2025) : Tunnelling into a Sustainable Future – Methods and Technologies, 2025.
[4]
A. Shibli, A. Nascetti and Y. Ban,
"Very High- to High- Resolution Imagery Transferability for Building Damage Detection Using Generative AI,"
in 2025 Joint Urban Remote Sensing Event, JURSE 2025, 2025.
[5]
Y. Zhao and Y. Ban,
"Burned area mapping with radarsat constellation mission data and deep learning,"
in IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024, 2024, pp. 4553-4556.
[6]
D. Kerekes and A. Nascetti,
"Multi-Temporal Sentinel-1 SAR Images for Dark Vessel Detection and Classification Using a Circlenet Model,"
in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings, 2024, pp. 8223-8227.
[7]
M. Nhangumbe et al.,
"Post Flooding Scenario Analysis: Case Study of Cyclone IDAI in Mozambique,"
in 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, Athens, Greece, Jul 7 2024 - Jul 12 2024, 2024, pp. 561-564.
[8]
E. Brune and Y. Ban,
"SAR-To-Optical Translation Using Conditional Diffusion Models for Wildfire-Burned Area Segmentation,"
in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings, 2024, pp. 7011-7015.
[9]
R. Yadav, A. Nascetti and Y. Ban,
"A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series,"
in Proceedings IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023.
[10]
A. Kaltsidis et al.,
"A Decision Support System for Taxi Drivers,"
in AIIT 3rd International Conference on Transport Infrastructure and Systems,TIS ROMA 2022 : Conference Proceedings, 2023, pp. 123-130.
[11]
C. Kontopoulos et al.,
"A novel web-based decision support tool for enhancing urban resilience and sustainability,"
in Ninth International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2023, 2023.
[12]
A. Nascetti et al.,
"BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time Series,"
in Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023.
[13]
R. Yadav, A. Nascetti and Y. Ban,
"Context-Aware Change Detection With Semi-Supervised Learning,"
in Proceedings IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023.
[14]
S. Hafner, Y. Ban and A. Nascetti,
"Investigating Imbalances Between SAR and Optical Utilization for Multi-Modal Urban Mapping,"
in 2023 Joint Urban Remote Sensing Event, JURSE 2023, 2023.
[15]
S. Hafner et al.,
"Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning : A Case Study in Kigali, Rwanda,"
in 2023 Joint Urban Remote Sensing Event, JURSE 2023, 2023.
[16]
S. Hafner and Y. Ban,
"Multi-Modal Deep Learning For Multi-Temporal Urban Mapping With A Partly Missing Optical Modality,"
in Igarss 2023 - 2023 Ieee International Geoscience And Remote Sensing Symposium, 2023, pp. 6843-6846.
[17]
R. Yadav et al.,
"Self-Supervised Contrastive Model for Flood Mapping and Monitoring on SAR Time-Series,"
in EGU23 General Assembly, Vienna, Austria & Online, 23–28 April 2023, 2023.
[18]
T. Campisi et al.,
"The impact of COVID-19 is not gender neutral : regional scale changes in modal choices in Sicily,"
in AIIT 3rd International Conference on Transport Infrastructure and Systems,TIS ROMA 2022 : Conference Proceedings, 2023, pp. 584-591.
[19]
P. Zhang and Y. Ban,
"Unsupervised Geospatial Domain Adaptation for Large-Scale Wildfire Burned Area Mapping Using Sentinel-2 MSI and Sentinel-1 SAR Data,"
in IGARSS 2023 : 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings, 2023, pp. 5742-5745.
[20]
S. Gerard, Y. Zhao and J. Sullivan,
"WildfireSpreadTS: A dataset of multi-modal time series for wildfire spread prediction,"
in Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023.
[21]
R. Yadav, A. Nascetti and Y. Ban,
"Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data,"
in Proceedings IEEE International Geoscience and Remote Sensing Symposium IGARSS 2022, 2022, pp. 5222-5225.
[22]
R. Yadav, Y. Ban and A. Nascetti,
"Building Change Detection using Multi-Temporal Airborne LiDAR Data,"
in Proceedings XXIV ISPRS Congress (2022 edition), 6–11 June 2022, Nice, France, 2022.
[23]
X. Hu, P. Zhang and Y. Ban,
"Gan-Based Sar To Optical Image Translation In Fire-Disturbed Regions,"
in 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, pp. 1456-1459.
[24]
Y. Zhao and Y. Ban,
"Global Scale Burned Area Mapping Using Bi-Temporal Alos-2 Palsar-2 L-Band Data,"
in 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, pp. 695-698.
[25]
J. Hatzenbühler et al.,
"Multi-purpose vehicle assignment for combined passenger and freight transport,"
in Transportation Research Board (TRB) 101st Annual Meeting, 2022.
[26]
M. A. Khan, G. Gidofalvi and C. K. Jat,
"Smart Control and Feasibility Analysis of Shared Electric Vehicle Charging Robots,"
in 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022, 2022, pp. 887-892.
[27]
A. Sjölander et al.,
"TACK – an autonomous inspection system for tunnels,"
in Proceedings of the 47th ITA-AITES World Tunnel Congress, Copenhagen, Denmark, 5-8 September, 2022, 2022.
[28]
B. Valeria et al.,
"TACK project : Tunnel Automatic CracK monitoring using deep learning and photogrammetry,"
in Earth Observation for Environmental Monitoring 41st EARSeL Symposium, Paphos, Cyprus, 13-16 September 2022, 2022.
[29]
S. Hafner, Y. Ban and A. Nascetti,
"Urban Change Detection Using A Dual-Task Siamese Network And Semi-Supervised Learning,"
in 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, pp. 1071-1074.
[30]
P. Zhang, X. Hu and Y. Ban,
"Wildfire-S1S2-Canada : A Large-Scale Sentinel-1/2 Wildfire Burned Area Mapping Dataset Based On The 2017-2019 Wildfires In Canada,"
in 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, pp. 7954-7957.
[31]
Y. Zhao, Y. Ban and A. Nascetti,
"Early Detection Of Wildfires With Goes-R Time-Series And Deep Gru Network,"
in International Geoscience and Remote Sensing Symposium (IGARSS), 2021, pp. 3765-3768.
[32]
S. Hafner, Y. Ban and A. Nascetti,
"Exploring The Fusion Of Sentinel-1 Sar And Sentinel-2 Msi Data For Built-Up Area Mapping Using Deep Learning,"
in International Geoscience and Remote Sensing Symposium (IGARSS), 2021, pp. 4720-4723.
[33]
Y. Zhou, P. Zhang and L. Hou,
"Global Urban Detection Based on High-Resolution and Multioral Sentinel-l Big Data,"
in 2021 IEEE 4th International Conference on Electronics Technology, ICET 2021, 2021, pp. 1213-1217.
[34]
V. Belloni et al.,
"Cosmo-skymed range measurements for displacement monitoring using amplitude persistent scatterers,"
in IGARSS 2020 - 2020 IEEE international geoscience and remote sensing symposium, 2020, pp. 2495-2498.
[35]
R. Ravanelli, A. Nascetti and M. Crespi,
"Large scale assessment of free global dems through the google earth engine platform,"
in IGARSS 2020 - 2020 IEEE international geoscience and remote sensing symposium, 2020, pp. 5242-5245.
[36]
V. Belloni et al.,
"Tack Project: Tunnel and bridge automatic crack monitoring using deep learning and photogrammetry,"
in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, pp. 741-745.
[37]
G. Gidofalvi and C. Yang,
"The potential of route based ERS network optimization,"
in TRA2020 Book of Abstracts : Proceedings of 8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland, 2020, pp. 1-12.
[38]
G. Gidofalvi and C. Yang,
"The potential of route based ERS network optimization : Transport demand optimized electric road placement,"
in Transportforum 2020, Linköping, Sweden, 8-9 January, 2020, 2020, pp. 1-2.
[39]
S. P. Cumbane, C. Yang and G. Gidofalvi,
"A Framework for Traffic Prediction Integrated with Deep Learning,"
in The 8th Symposium of the European Association for Research in Transportation, 2019.
[40]
R. Palmberg, Y. Susilo and G. Gidofalvi,
"Developing and trialling an implicit interaction platform to monitor and aiding dementia travellers,"
in Mobile Apps and Sensors in Surveys (MASS) Workshop, 4-5 March, Mannheim, Germany, 2019.
[41]
L. Lastilla et al.,
"Foss4g date for dsm generation : Sensitivity analysis of the semi-global block matching parameters,"
in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2019, pp. 67-72.
[42]
T. Zhang et al.,
"Ship detection using the surface scattering similarity and scattering power,"
in 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, pp. 1264-1267.
[43]
J. Guo et al.,
"Towards a sustainable use of electric vehicles : The design of a stated adaptation web survey tool,"
in Proceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019 : Transport and Smart Cities, 2019, pp. 409-417.
[44]
R. Palmberg, Y. Susilo and G. Gidofalvi,
"Uncovering Effects of Spatial and Transportation Elements on Travellers Using Biometric Data,"
in TOWARDS HUMAN SCALE CITIES - OPEN AND HAPPY, 2019.
[45]
A. Pernestål et al.,
"Will digitalization change freight transport? : Future scenarios for the digitized freight transport landscape with Sweden as a case study,"
in European Transport Conference ETC 2019, 2019.
[46]
T. Zhang et al.,
"A SHIP DETECTOR BASED ON THE IMPROVED POLARIMETRIC COVARIANCE DIFFERENCE MATRIX,"
in IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, pp. 709-712.
[47]
A. C. Prelipcean, Y. Susilo and G. Gidofalvi,
"Collecting travel diaries : Current state of the art, best practices, and future research directions,"
in Transport Survey Methods in the era of big data : facing the challenges, 2018, pp. 155-166.
[48]
V. Belloni et al.,
"Digital image correlation from commercial to FOS software : A mature technique for full-field displacement measurements,"
in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2018, pp. 91-95.
[49]
R. Palmberg, G. Gidofalvi and Y. Susilo,
"Enabling Technologies to Serve the Ageing Urban Society Better (ENTRUST),"
in Ny teknik i äldreomsorgen 24 maj 2018 Stockholm, 2018.
[50]
A. C. Prelipcean, Y. O. Susilo and G. Gidofalvi,
"Future directions of research for automatic travel diary collection,"
in Proceedings of the 11th International conference on Transport Survey Methods, 2018.