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Personal profile

Personal profile

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: INACHUS, Its4Land and Panoptis. He is contributing to the Slice3D project too.

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 initiativeon 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

UAV, feature extraction, 3D modelling, 3D mapping, LiDAR, photogrammetry

Prizes and awards

  • Finalist at the Licinio Ferretti Awards 2010 (supported by BLOM-CGR S.p.A.)
  • Winner at the Licinio Ferretti Awards 2011 (supported by BLOM-CGR S.p.A.)
  • Sensors (MDPI) Best Paper Awards 2013

See also: Francesco's publications on ResearchGate

Teaching

Activities in education

The duties in education cover core modules of Photogrammetry, UAV and 3D modeling.

  • Teaching basics in photogrammetry and 3D modelling in GFM courses.
  • Supervised/co-supervised MSc theses.

He is currently the coordinator of two courses:

  • Unmanned Aerial Vehicles for Earth Observation
  • 2D and 3D Scene Analysis

Research interests

Activities in research

Within the topic "UAV for real-time 3D mapping" the current focus is on geometric and semantic information extraction from UAV images.

Ongoing projects and activities:

Completed Projects at the University of Twente:

A leaflet describing our activities in the area of mapping from UAV at ITC can be downloaded here.

Projects

Relevant past projects:

  • RapidMap: CONCERT- Japan project (EU funded project in the International Cooperation Activities under the Capacities Programme of the F.P.7th for Research and Technology Development - http://rapidmap.fbk.eu/)
  • Galileo Project 2013-2014: Automated scene information extraction from a joint analysis of aerial remote sensing images and their photogrammetric DSM - Partner: Grenoble Institute of Technology (Grenoble INP) -  GIPSA Lab, France
  • STEM Project: the project is commissioned by the Autonomous Province of Trento.
  • COSCH Project: Cost Action TD 1201 (Short Term Scientific Mission)
  • CIEM Project (Cartographic Information Extraction and Management): co-founded Marie-Curie Actions 7th F.P. - PCOFOUND- GA-2008-226070, acronym “Trentino Project”

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Unmanned aerial vehicles (UAV) Engineering & Materials Science
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Research Output 2007 2018

3 Citations
digital terrain model
imagery
learning
Labels
education
airborne sensing
GNSS
registers
imagery
platforms

A Guided Registration Strategy Employing Virtual Planes To Overcome Non-Standard Geometries – Using The Example Of Mobile Mapping And Aerial Oblique Imagery

Jende, P. L. H., Nex, F. C., Gerke, M. & Vosselman, G., 4 Jun 2018, 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy. Riva Del Garda: International Society for Photogrammetry and Remote Sensing (ISPRS), Vol. XLII-2. p. 471-477 7 p. (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; vol. XLII-2).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Antennas
Geometry
Facades
Image registration
Image resolution

Contextual classification using photometry and elevation data for damage detection after an earthquake event

Rupnik, E., Nex, F., Toschi, I. & Remondino, F., 31 May 2018, In : European journal of remote sensing. 51, 1, p. 543-557

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Photometry
earthquake event
Damage Detection
Damage detection
Earthquake
21 Citations
Open Access
disasters
Damage detection
Disasters
learning
disaster