Replacing the use of texture and sealed area in urban fabric classifications by inegrating volume and object based distance calculations

R. de Kok*, P. Wezyk, B. Hejmanowska, J. Ksiazek

*Corresponding author for this work

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

Abstract

The classification of urban fabric can be achieved using the information of individual buildings and measure their distance to all image objects in the map. The distance to a variety of building types return various areas, which can be associated with dense and less dense urban fabric. The resulting classification can be used as an alternative or as a control mechanism on normal urban fabric classification. The method can be used to extend existing manuals on urban fabric.
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 pages3
ISBN (Print)978-90-365-4201-2
DOIs
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
https://www.geobia2016.com/

Conference

Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
CountryNetherlands
CityEnschede
Period14/09/1616/09/16
Internet address

Fingerprint

Dive into the research topics of 'Replacing the use of texture and sealed area in urban fabric classifications by inegrating volume and object based distance calculations'. Together they form a unique fingerprint.

Cite this