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2D vs. 3D Change Detection Using Aerial Imagery to Support Crisis Management of Large-Scale Events

Gstaiger, Veronika and Tian, Jiaojiao and Kiefl, Ralph and Kurz, Franz (2018) 2D vs. 3D Change Detection Using Aerial Imagery to Support Crisis Management of Large-Scale Events. Remote Sensing, 10 (12), pp. 1-19. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs10122054 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/10/12/2054

Abstract

Large-scale events represent a special challenge for crisis management. To ensure that participants can enjoy an event safely and carefree, it must be comprehensively prepared and attentively monitored. Remote sensing can provide valuable information to identify potential risks and take appropriate measures in order to prevent a disaster, or initiate emergency aid measures as quickly as possible in the event of an emergency. Especially, three-dimensional (3D) information that is derived using photogrammetry can be used to analyze the terrain and map existing structures that are set up at short notice. Using aerial imagery acquired during a German music festival in 2016 and the celebration of the German Protestant Church Assembly of 2017, the authors compare two-dimensional (2D) and novel fusion-based 3D change detection methods, and discuss their suitability for supporting large-scale events during the relevant phases of crisis management. This study serves to find out what added value the use of 3D change information can provide for on-site crisis management. Based on the results, an operational, fully automatic processor for crisis management operations and corresponding products for end users can be developed.

Item URL in elib:https://elib.dlr.de/125007/
Document Type:Article
Title:2D vs. 3D Change Detection Using Aerial Imagery to Support Crisis Management of Large-Scale Events
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gstaiger, VeronikaVeronika.Gstaiger (at) dlr.deUNSPECIFIED
Tian, Jiaojiaojiaojiao.tian (at) dlr.deUNSPECIFIED
Kiefl, Ralphralph.kiefl (at) dlr.deUNSPECIFIED
Kurz, FranzFranz.Kurz (at) dlr.deUNSPECIFIED
Date:17 December 2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI :10.3390/rs10122054
Page Range:pp. 1-19
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue: Earth Observation to Support Disaster Preparedness and Disaster Risk Management
ISSN:2072-4292
Status:Published
Keywords:crisis management, aerial imagery, large-scale event, 2D change detection, 3D change detection
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Gstaiger, Veronika
Deposited On:20 Dec 2018 12:17
Last Modified:14 Dec 2019 04:26

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