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Refined Building Change Detection in Satellite Stereo Imagery Based on Belief Functions and Reliabilities

Tian, Jiaojiao and Dezert, Jean and Reinartz, Peter (2015) Refined Building Change Detection in Satellite Stereo Imagery Based on Belief Functions and Reliabilities. In: Proceedings of MFI 2015, pp. 160-165. IEEEXplore. IEEE 2015 International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2015-09-14 - 2015-09-16, San Diego, USA. doi: 10.1109/MFI.2015.7295802.

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7295802&tag=1

Abstract

Digital Surface Models (DSMs) generated from satellite stereo imagery provide valuable but not comprehensive information for building change detection. Therefore, belief functions have been introduced to solve this problem by fusing DSM information with changes extracted from images. However, miss-detection can not be avoided if the DSMs are containing large region of wrong height values. A refined workflow is thereby proposed by adopting the initial disparity map to generate a reliability map. This reliability map is then built in the fusion model. The reliability map has been tested in both Dempster-Shafer Theory (DST), and Dezert-Smarandache Theory (DSmT) frameworks. The results have been validated by comparing to the manually extracted change reference mask.

Item URL in elib:https://elib.dlr.de/97984/
Document Type:Conference or Workshop Item (Speech, Other)
Title:Refined Building Change Detection in Satellite Stereo Imagery Based on Belief Functions and Reliabilities
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Tian, Jiaojiaojiaojiao.tian (at) dlr.dehttps://orcid.org/0000-0002-8407-5098UNSPECIFIED
Dezert, Jeanjean.dezert (at) onera.frUNSPECIFIEDUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.dehttps://orcid.org/0000-0002-8122-1475UNSPECIFIED
Date:2015
Journal or Publication Title:Proceedings of MFI 2015
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.1109/MFI.2015.7295802
Page Range:pp. 160-165
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
UNSPECIFIEDIEEE Org.UNSPECIFIEDUNSPECIFIED
Publisher:IEEEXplore
Status:Published
Keywords:Belief functions, building change detection, Reliability discounting
Event Title:IEEE 2015 International Conference on Multisensor Fusion and Integration for Intelligent Systems
Event Location:San Diego, USA
Event Type:international Conference
Event Start Date:14 September 2015
Event End Date:16 September 2015
Organizer:San Diego, CA, USA
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
Deposited By: Tian, Dr Jiaojiao
Deposited On:08 Sep 2015 15:40
Last Modified:24 Apr 2024 20:03

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