elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Detection of Buildings in Spaceborne TomoSAR Point Clouds via Hybrid Region Growing and Energy Minimization Technique

Shahzad, Muhammad and Zhu, Xiao Xiang (2015) Detection of Buildings in Spaceborne TomoSAR Point Clouds via Hybrid Region Growing and Energy Minimization Technique. In: Urban Remote Sensing Event (JURSE), 2015 Joint, pp. 1-4. IEEE Xplore. JURSE 2015, 30 Mar - 01 Apr 2015, Lausanne, Switzerland. DOI: 10.1109/JURSE.2015.7120480

[img] PDF
601kB

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7120480

Abstract

In this paper, an automatic approach is presented to detect/extract buildings from spaceborne TomoSAR point clouds. The approach is systematic and allows robust detection of both tall and low height buildings and is, therefore, well suited for urban monitoring of larger areas from space. The presented approach is illustrated and validated by examples using TomoSAR point clouds generated from a stack of TerraSAR-X high resolution spotlight images covering an area of approximately 1.5 km2 containing mostly moderate sized buildings in the city of Berlin, Germany. The depicted results validate the effectiveness of the proposed approach.

Item URL in elib:https://elib.dlr.de/94512/
Document Type:Conference or Workshop Item (Speech)
Title:Detection of Buildings in Spaceborne TomoSAR Point Clouds via Hybrid Region Growing and Energy Minimization Technique
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shahzad, Muhammadmuhammad.shahzad (at) bv.tum.deUNSPECIFIED
Zhu, Xiao XiangDLR,TUMUNSPECIFIED
Date:2015
Journal or Publication Title:Urban Remote Sensing Event (JURSE), 2015 Joint
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/JURSE.2015.7120480
Page Range:pp. 1-4
Editors:
EditorsEmail
UNSPECIFIEDIEEE Org.
Publisher:IEEE Xplore
Status:Published
Keywords:Building footprint, Reconstruction, TomoSAR point cloud
Event Title:JURSE 2015
Event Location:Lausanne, Switzerland
Event Type:international Conference
Event Dates:30 Mar - 01 Apr 2015
Organizer:IEEE
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 > SAR Signal Processing
Deposited By: Shahzad, Muhammad
Deposited On:12 Jan 2015 13:42
Last Modified:31 Jul 2019 19:51

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.