About Me
Dr. Francesco Nex is currently Assistant Professor in the Earth Observation Science (EOS) Department at the University of Twente.
Francesco Nex received his master degree in Environmental Engineering (2006) and his PhD degree (2010) from the TU Turin (Italy). From 2011 to 2015 he was with the 3DOM unit of FBK (Italy) working as Marie-Curie Post-Doc in the CIEM Project from 2011 to 2014 and then as Researcher. In 2015, Francesco moved to the University of Twente, where he is currently Assistant Professor at the faculty of Geo-Information Science and Earth Observation (ITC), department of Earth Observation Science (EOS). His main research interests are in the use of UAV platforms and oblique imagery as well as the automation in the feature extraction and classification of this data. Francesco is author of over 90 publications in international journals and conferences. He is currently involved in three European research projects dealing with UAV imagery. He is the Chairman of the ICWG I/II (Unmanned Aerial Vehicles: sensors and applications) of the ISPRS (International Society of Photogrammetry and Remote Sensing) and he was the PI of the ISRPS scientific initiative on the integration of UAVs and oblique imagery. He has been serving as guest Editor in several indexed journals and he is involved in the Editorial board of Drones (MDPI).
Expertise
Damage
Vehicle
Learning
Antennas
Method
Image Classification
Aircraft
Imagery
Unmanned Aerial Vehicles (Uav)
Natural Hazard
Monitoring
Detection
Damage Detection
Processing
Deep Learning
Gnss
Learning
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)Publications
Recent
Gevaert, C., Persello, C., Nex, F., & Vosselman, G. (2018). A deep learning approach to DTM extraction from imagery using rule-based training labels. ISPRS journal of photogrammetry and remote sensing, 142, 106-123. DOI: 10.1016/j.isprsjprs.2018.06.001
Vetrivel, A., Gerke, M., Kerle, N., Nex, F. C., & Vosselman, G. (2018). Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning. ISPRS journal of photogrammetry and remote sensing, (140), 45-59. [WOS:000433015900005]. DOI: 10.1016/j.isprsjprs.2017.03.001
Koeva, M. N., Muneza, M., Gevaert, C. M., Gerke, M., & Nex, F. C. (2018). Using UAVs for map creation and updating : a case study in Rwanda. Survey review, 50(361), 312-325. DOI: 10.1080/00396265.2016.1268756
Ramadhani, S. A., Bennett, R. M., & Nex, F. C. (2018). Exploring UAV in Indonesian cadastral boundary data acquisition. Earth Science Informatics, 11(1), 129-146. DOI: 10.1007/s12145-017-0314-6
Jende, P. L. H., Nex, F. C., Gerke, M., & Vosselman, G. (2018). A fully automatic approach to register mobile mapping and airborne imagery to support the correction of platform trajectories in GNSS-denied urban areas. ISPRS journal of photogrammetry and remote sensing, 141, 86-99. DOI: 10.1016/j.isprsjprs.2018.04.017
Rupnik , E., Nex, F. C., Toschi, I., & Remondino, F. (2018). Contextual classification using photometry and elevation data for damage detection after an earthquake event. European journal of remote sensing, 51(1), 543-557. DOI: 10.1080/22797254.2018.1458584
Giordan, D., Nex, F. C., Hayakawa, Y., Remondino, F., & Tarolli, P. (2018). the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management. Natural hazards and earth system sciences, 18, 1079-1096. DOI: 10.5194/nhess-18-1079-2018
Cusicanqui, J., Kerle, N., & Nex, F. C. (2018). Usability of aerial video footage for 3-D scene reconstruction and structural damage assessment. Natural hazards and earth system sciences, 18, 1583-1598. DOI: 10.5194/nhess-18-1583-2018
Lin, Y., Nex, F. C., & Yang, M. Y. (2018). Semantic Building Façade Segmentation From Airborne Oblique Images. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2 ed., Vol. IV). [31540640] International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-annals-IV-2-209-2018
Makuti, S., Nex, F. C., & Yang, M. Y. (2018). Multi-Temporal Classification And Change Detection Using UAV Images. In 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy (pp. 651-658). (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. XLII-2). Riva Del Garda: International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XLII-2-651-2018
Jende, P. L. H., Nex, F. C., Gerke, M., & Vosselman, G. (2018). A Guided Registration Strategy Employing Virtual Planes To Overcome Non-Standard Geometries – Using The Example Of Mobile Mapping And Aerial Oblique Imagery. In 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy (Vol. XLII-2, pp. 471-477). (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. XLII-2). Riva Del Garda: International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XLII-2-471-2018
Duarte, D., Nex, F. C., Kerle, N., & Vosselman, G. (2018). Satellite Image Classification Of Building Damages Using Airborne And Satellite Image Samples In A Deep Learning Approach. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020” (2 ed., Vol. IV, pp. 89-96). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-annals-IV-2-89-2018
Onyango, F. A., Nex, F. C., Peter, M. S., & Jende, P. L. H. (2017). Accurate Estimation Of Orientation Parameters Of Uav Images Through Image Registration With Aerial Oblique Imagery. In C. Heipke, & . [et al] (Eds.), Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany (pp. 599-605). (ISPRS Archives Volume XLII-1/W1). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XLII-1-W1-599-2017
Stöcker, E. C., Bennett, R., Nex, F., Gerke, M., & Zevenbergen, J. (2017). Review of the current state of UAV regulations. Remote sensing, 9(5), [459]. DOI: 10.3390/rs9050459
Jende, P., Nex, F., Gerke, M., & Vosselman, G. (2017). Fully automatic feature-based registration of mobile mapping and aerial nadir images for enabling the adjustment of mobile platform locations in gnss-denied urban environments. In C. Heipke, & . [et al] (Eds.), Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany (pp. 317-323). (ISPRS Archives; Vol. XLII-1/W1). Hannover: International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XLII-1-W1-317-2017
Stöcker, C., Nex, F. C., Koeva, M. N., & Gerke, M. (2017). Quality assessment of combined IMU/GNSS data for direct georeferencing in the context of UAV-based mapping. 355-361. Paper presented at ISPRS 2017 : International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany.
Gevaert, C. M., Persello, C., Nex, F. C., & Vosselman, G. (2017). A Deep Learning Approach to DTM Extraction from Imagery Using Rule-Based Training Labels : powerpoint.. 1s-25s. Annual Symposium of the Netherlands Centre for Geodesy and Geo-Informatics (NCG) 2017, Delft, Netherlands.
Giordan, D., Manconi, A., Remondino, F., & Nex, F. (2017). Use of unmanned aerial vehicles in monitoring application and management of natural hazards. Geomatics, Natural Hazards and Risk, 8(1), 1-4. DOI: 10.1080/19475705.2017.1315619
Martinez-rubi, O., Nex, F., Pierrot-deseilligny, M., & Rupnik, E. (2017). Improving FOSS photogrammetric workflows for processing large image datasets. Open Geospatial Data, Software and Standards, 2, [12]. DOI: 10.1186/s40965-017-0024-5
Duarte, D., Nex, F. C., Kerle, N., & Vosselman, G. (2017). Towards a more efficient detection of earthquake induced façade damages using oblique UAV imagery. In C. Stachniss, W. Förstner, & J. Schneider (Eds.), Proceedings of International Conference on Unmanned Aerial Vehicles in Geomatics, 4-7 September 2017, Bonn, Germany (pp. 93-100). (ISPRS Archives; Vol. XLII-2/W6). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XLII-2-W6-93-2017
Gerke, M., Nex, F. C., & Jende, P. L. H. (2016). Co-registration of terrestrial and UAV-based images: experimental results. In J. Skaloud, & I. Colomina (Eds.), Proceedings of EuroCOW 2016, the European Calibration and Orientation Workshop, 10-12 February 2016, Lausanne, Switzerland (pp. 11-18). International Society for Photogrammetry and Remote Sensing (ISPRS). DOI: 10.5194/isprs-archives-XL-3-W4-11-2016
Ramadhani, S., Bennett, R. M., & Nex, F. C. (2016). UASs for cadastral applications : testing a fit-for-purpose land administration approach in Indonesia. GIM International, 30(12), 30-31.
Aicardi, I., Nex, F. C., Gerke, M., & Lingua, A. M. (2016). An image-based approach for the co-registration of multi-temporal UAV image datasets. Remote sensing, 8(9), -. [779]. DOI: 10.3390/rs8090779
Nex, F. C. (2016). Oblique aerial images : potentialities, applications and best practices. In Geospatial world forum : where's the money? : disruptive business models, 23-26 May 2016, Rotterdam, The Netherlands (pp. s1-s31). Rotterdam.
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Contact Details
Visiting Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
(building no. 75), room 2-029
Hengelosestraat 99
7514AE Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
2-029
P.O. Box 217
7500 AE Enschede
The Netherlands