Researcher (Postdoc), fulltime “Smart fusion between maps and airborne sensor data”

University of Twente (UT), Netherlands

Updated: about 2 years ago
Deadline: 09 Feb 2022

The Department of Earth Observation Science (EOS) of the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente in Enschede, the Netherlands, has a full-time vacant position for a Researcher.

Your challenge

Maps are quickly becoming outdated, about 10 % of the objects change annually. This project focuses on methods to automatically interpret newly acquired sensor data to detect and to update the changed objects in the digital map. The sensor data includes high resolution 2D aerial image data and 3D laser scanner data. Our approach is to use the existing (old) digital maps to learn how various objects appear in these 2D and 3D datasets. It is your task to design a fusion step between nationwide map data and sensor data to be able to generate a massive training dataset. Alongside this position two PhD Candidates will work on the development of the classification and delineation tasks.

The specific tasks in this project are:

  • Design smart fusion procedure between map and sensor data
  • Assign points and pixels to corresponding objects for large areas, with the aim to generate a massive amount of training data

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