• Finding building footprints in over-detailed topographic maps

Roussel, Robin ORCID: https://orcid.org/0000-0001-8875-3688, Asadipour, Ali ORCID: https://orcid.org/0000-0003-0159-3090 and Jacoby, Sam ORCID: https://orcid.org/0000-0002-9133-5177, 2023, Conference or Workshop, Finding building footprints in over-detailed topographic maps at Geographical Information Science Research UK (GISRUK) International Conference, Glasgow, UK, 19-21 Apr 2023.

Abstract or Description:

Building footprints are a key component of many GIS applications, including morphological and street view based analysis. Crowdsourced data such as OpenStreetMap (OSM) is widespread but not consistently detailed enough to reliably extract footprints of individual buildings, while topographic building maps such as the Ordnance Survey MasterMap Topography Layer (MTL) may split footprints into multiple polygons or include constructions without an address. We propose a method to determine which topographic building polygons can be unambiguously matched to individual footprints of buildings with an address, to enable integration with address-based data sources such as transactions or energy performance certificates. The results suggest that this method recovers significantly more building footprints than what can be obtained from OSM.

Official URL: https://gisruk-2023.virtualpostersession.org/
Subjects: Other > Mathematical and Computer Sciences > G400 Computer Science
Architecture > K100 Architecture
School or Centre: Research Centres > Computer Science Research Centre
Research & Innovation
School of Architecture
Funders: Prosit Philosophiae Foundation
Date Deposited: 05 Jul 2023 11:53
Last Modified: 05 Jul 2023 11:53
URI: https://researchonline.rca.ac.uk/id/eprint/5450
Edit Item (login required) Edit Item (login required)