Multiclass object detection in aerial and satellite images
Date added: 30 July 2013
Location: Oberpfaffenhofen, Germany
The Photogrammetry and Image Analysis department of DLR has developed a system for monitoring the road traffic from aerial images in real-time (the project VABENE: vabene.dlr.de) and a system for monitoring ships from optical satellite images in near real-time (the project OpsServe). In both systems a crucial part is a reliable and fast visual object detector. In the next phases of the projects the existing detector needs to be extended for multiple object classes.
The proposed master thesis focuses on developing a visual object detector which detects multiple object types (e.g. vehicles, ships) on aerial and satellite images.
The main tasks are: