From classification results to topographic maps

Joachim Höhle

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

9 Downloads (Pure)


The classification of high resolution multispectral aerial imagery enables very high thematic accuracies when machine learning methods are applied. The use of classification results as topographic maps requires cartographic enhancement and checking of the geometric accuracy. Urban areas are of special interest. The conversion of the classification result into topographic maps of high thematic and geometric quality is subject of this contribution. After reviewing the existing literature on this topic a methodology is
presented. It has the goal to achieve high cartographic quality and geometric accuracy for buildings and other topographic objects. The suggested methodology for improving the classification results is described. With the ISPRS data set of the ‘2D labelling contest’ a land cover map of six classes was produced and then enhanced by the proposed method. The classification used a machine learning method applying a variety of attributes including object heights derived from imagery. The cartographic enhancement is carried out with two different levels of quality. The user’s accuracy for the classes “impervious surface” and “building” were above 85% in the ‘level 1’ map. The geometric accuracy of building corners in the ‘level 2’ map was assessed by means of reference data derived from a DSM-based orthoimage. The obtained root mean square errors were RMSE_x = 1.2 m and RMSE_y = 0.7 m. All processing could be carried out with a high level of automation.
Original languageEnglish
Title of host publicationProceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands
EditorsN. Kerle, M. Gerke, S. Lefevre
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages8
ISBN (Print)978-90-365-4201-2
Publication statusPublished - 14 Sep 2016
Externally publishedYes
Event6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016: Solutions & Synergies - University of Twente Faculty of Geo-Information and Earth Observation (ITC), Enschede, Netherlands
Duration: 14 Sep 201616 Sep 2016
Conference number: 6


Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
Internet address


Dive into the research topics of 'From classification results to topographic maps'. Together they form a unique fingerprint.

Cite this