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Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments

Partovi, Tahmineh and Bahmanyar, Reza and Krauß, Thomas and Reinartz, Peter (2017) Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (3), pp. 933-947. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2016.2611861 ISSN 1939-1404

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Official URL: http://ieeexplore.ieee.org/document/7583725/

Abstract

Efficient and fully automatic building outline extraction and simplification methods are highly demanded for three-dimensional model reconstruction tasks. In spite of the efforts put into developing such methods, the results of the recently proposed methods are still not satisfactory, especially for satellite images, due to object complexities and the presence of noise. Dealing with this problem, in this article, we propose a new approach that detects rough building boundaries (building mask) from Digital Surface Model data and then refines the resulting mask by classifying the geometrical features of the high spatial resolution panchromatic satellite image. The refined mask represents finer details of the building outlines, which are close to the original building edges. These outlines are then simplified through a parameterization phase wherein a tracing algorithm detects the building boundary points from the refined masks and a set of line segments is fitted to them. After that, for each building, the existing main orientations are determined based on the length and arc lengths of the building’s line segments. Our method is able to determine the multiple main orientations of complex buildings. Through a regularization process, the line segments are then aligned and adjusted according to the building’s main orientations. Finally, the adjusted line segments are intersected and connected to each other in order to form a polygon representing the building’s outlines. Experimental results demonstrate that the computed building outlines are highly accurate and simple, even for large and complex buildings with inner yards.

Item URL in elib:https://elib.dlr.de/107332/
Document Type:Article
Title:Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Partovi, Tahminehtahmineh.partovi (at) dlr.deUNSPECIFIED
Bahmanyar, Rezareza.bahmanyar (at) dlr.deUNSPECIFIED
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:March 2017
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI :10.1109/JSTARS.2016.2611861
Page Range:pp. 933-947
Editors:
EditorsEmail
Du, Qian (Jenny)du@ece.msstate.edu
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:outline simplification, Building detection, Digital Surface Model (DSM), high-resolution satellite image, outline extraction
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:08 Nov 2016 16:18
Last Modified:31 Jul 2019 20:04

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