Michael Kölle
Michael Kölle

Michael Kölle holds an MSc in Geodesy & Geoinformatics from the University of Stuttgart. As a member of the geoinformatics group at the university’s Institute for Photogrammetry, he is currently working on his PhD. His main research interests are focused on combining paid crowdsourcing and machine learning techniques such as active learning for generating high-quality training data, especially in the context of 3D point clouds.


Integrating UAV-based Lidar and Photogrammetry

Recent unmanned aerial vehicle (UAV or ‘drone’) platforms jointly collect imagery and Lidar data. Their combined evaluation potentially generates 3D point clouds at accuracies and resolutions of some millimetres, so far limited to terrestrial data capture. This article outlines a project... (read more)