| Building footprint extraction from multispectral, spaceborne earth observation datasets using a structurally optimized U-Net convolutional neural network G Pasquali, GC Iannelli, F Dell’Acqua Remote Sensing 11 (23), 2803, 2019 | 37 | 2019 |
| Extensive exposure mapping in urban areas through deep analysis of street-level pictures for floor count determination GC Iannelli, F Dell’Acqua Urban Science 1 (2), 16, 2017 | 34 | 2017 |
| A novel strategy for very-large-scale cash-crop mapping in the context of weather-related risk assessment, combining global satellite multispectral datasets, environmental … F Dell’Acqua, GC Iannelli, MA Torres, MLV Martina Sensors 18 (2), 591, 2018 | 23 | 2018 |
| Jointly exploiting Sentinel-1 and Sentinel-2 for urban mapping GC Iannelli, P Gamba IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 20 | 2018 |
| An information theory-based scheme for efficient classification of remote sensing data A Marinoni, GC Iannelli, P Gamba IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5864-5876, 2017 | 16 | 2017 |
| Urban extent extraction combining sentinel data in the optical and microwave range GC Iannelli, P Gamba IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 14 | 2019 |
| Urban area extent extraction in spaceborne HR and VHR data using multi-resolution features GC Iannelli, G Lisini, F Dell'Acqua, RQ Feitosa, GAOP Costa, P Gamba Sensors 14 (10), 18337-18352, 2014 | 14 | 2014 |
| The ESA KSA Vialone project: new business from space in organic farming D Marzi, D De Vecchi, GC Iannelli, F Dell’Acqua Earth Observation Phi-Week, 2019 | 6 | 2019 |
| The IEEE GRSS standardized remote sensing data website: A step towards science 2.0 in remote sensing F Dell’Acqua, GC Iannelli, J Kerekes, G Lisini, G Moser, N Ricardi, ... Proc. Living Planet Symp., 35, 2016 | 5 | 2016 |
| Comparing different textural approaches to extract human settlement from CBERS-2B data GC Iannelli, P Gamba, F Dell’Acqua Proceedings of XVI SBSR, Foz do Iguacu, Brazil 1318, 21932200, 2013 | 5 | 2013 |
| Towards a free open source software tool for human settlement detection on VHR remote sensing images GC Iannelli, P Gamba, F Dell'Acqua, RQ Feitosa, GA Ostwald, P da Costa Joint Urban Remote Sensing Event 2013, 155-158, 2013 | 4 | 2013 |
| Using social media data to map urban areas: ideas and limits Z Miao, GC Iannelli, P Gamba IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 3 | 2019 |
| Improving the HBDT framework fusing HR and VHR SAR and optical data for image classification GC Iannelli, P Gamba 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 3 | 2017 |
| The IEEE GRSS data and algorithm standard evaluation (DASE) website: Incrementally building a standardized assessment for algorithm performance F Dell'Acqua, GC Iannelli, J Kerekes, G Moser, L Pierce, E Goldoni 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 3 | 2017 |
| Hierarchical hybrid decision tree multiscale fusion for urban image classification GC Iannelli, P Gamba 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 3 | 2016 |
| A feature-based approach to register CBERS CCD and HRC imagery for built-up area extraction purposes D De Vecchi, M Harb, GC Iannelli, P Gamba, F Dell'Acqua, RQ Feitosa 2015 Joint Urban Remote Sensing Event (JURSE), 1-4, 2015 | 3 | 2015 |
| Fusion of spectral and spatial features for human settlement extraction GC Iannelli, P Gamba, F Dell'Acqua, G Lisini, G Costa, RQ Feitoza 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 1222 …, 2013 | 1 | 2013 |
| Exposure data development for the global earthquake model: Model: Inventory data capture tools J Bevington, R Eguchi, C Huyck, H Crowley, F Dell’Acqua, G Iannelli, ... Proceedings of the 15th World Conference on Earthquake Engineering, Lisbon …, 2012 | 1 | 2012 |
| Data-, Feature-and Decision-Level Fusion for Classification A Salentinig, GC Iannelli, P Gamba Elsevier, 2023 | | 2023 |
| On the Optimal Design of Convolutional Neural Networks for Earth Observation Data Analysis by Maximization of Information Extraction A Marinoni, GC Iannelli, S Khaleghian, P Gamba IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | | 2020 |
