Diploma thesis by Daniel Schemala “Semantic segmentation of historical topographic maps” completed

02/12/2016 // SCADS

Published on 12 February 2016

Mr. Daniel Schemala finished his diploma thesis on Semantic Segmentation of Historical Topographic Maps in March. In it, he developed a program that makes it possible to divide scans of historical maps into settlement and non-settlement areas. The methods used are from the fields of machine learning and computer vision. The work was supervised by Mr. Hendrik Herold of the IÖR (Leibnitz Institute for Ecological Spatial Planning) and Mr. Dmitrij Schlesinger of the Computer Vision Lab of the TU Dresden.

The awarded thesis is publicly available under the following link: Diploma thesis Daniel Schemala

Find out more about final theses at ScaDS.AI Dresden/Leipzig.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut