eprintid: 36902
rev_number: 10
eprint_status: archive
userid: 5878
dir: disk0/00/03/69/02
datestamp: 2025-07-18 13:34:39
lastmod: 2025-07-18 13:35:13
status_changed: 2025-07-18 13:34:39
type: bookPart
metadata_visibility: show
creators_name: Rutzinger, Martin
creators_name: Höfle, Bernhard
creators_name: Geist, Thomas
creators_name: Stötter, Johann
title: Object-based building detection based on airborne laser scanning data within GRASS GIS environment
subjects: ddc-550
divisions: i-120700
abstract: The paper gives insight into the workflow of a building detection algorithm analysing airborne laser scanning data based on open source software. The procedure is set up in the GRASS GIS environment. Buildings are exclusively extracted from airborne laser scanning data and its derivatives without using any additional data source (e.g. high resolution images). This shows the potential but also the limitations of this kind of data. The implemented object-based approach uses remote sensing and GIS methods. Buildings are landscape objects with a well defined border. The object-based approach works on sharp outlines of objects which is an advantage in the case of building detection.
date: 2006
publisher: UDMS
id_scheme: DOI
id_number: 10.11588/heidok.00036902
own_urn: urn:nbn:de:bsz:16-heidok-369028
language: eng
bibsort: RUTZINGERMOBJECTBASE2006
full_text_status: public
place_of_pub: Aalborg, Denmark
pagerange: 7.37-7.48
book_title: Proceedings of UDMS '06 : 25th Urban Data Management Symposium, Aalborg, Denmark
citation:   Rutzinger, Martin ; Höfle, Bernhard ; Geist, Thomas ; Stötter, Johann  (2006) Object-based building detection based on airborne laser scanning data within GRASS GIS environment.  [Book Section]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/36902/1/rutzinger_udms_07-04_2006.pdf