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A Benchmark Evaluation of Similarity Measures for Multi-temporal SAR Image Change Detection

Cui, Shiyong and Schwarz, Gottfried and Datcu, Mihai (2016) A Benchmark Evaluation of Similarity Measures for Multi-temporal SAR Image Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (3), pp. 1101-1118. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2015.2486038 ISBN 1939-1404 ISSN 1939-1404

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7302528

Abstract

SAR image change detection is playing an important role in various Earth Observation (EO) applications. There exist a large number of different methods that have been proposed to address this issue. However, due to the fact that several kinds of changes with diverse characteristics can arise in SAR images, there is no consensus on the their performances because most methods have been evaluated using different datasets, probably facing several kinds of changes, but without an in-depth analysis of the characteristics of SAR image changes. Therefore, two important problems arise. The first is what kind of change each approach can detect. The second is how much they can detect a kind of change. Although the importance to model any kind of changes has been realized, there is no principled methodology to carry out the analysis due to the difficulty in modeling various kinds of changes. In this paper, we propose a benchmark methodology to reach this goal by simulating selected kinds of changes in addition to using real data with changes. Six kinds of SAR changes for eight typical image categories are simulated, i.e., reflectivity changes, first order, second order, and higher order statistical changes, linear and nonlinear changes. Based on this methodology for change simulation, a comprehensive evaluation of information similarity measures is carried out. An explicit conclusion we have drawn from the evaluation is that the various methods behave very differently for all kinds of changes. We hope that this study will promote the advancement of this topic.

Item URL in elib:https://elib.dlr.de/98426/
Document Type:Article
Title:A Benchmark Evaluation of Similarity Measures for Multi-temporal SAR Image Change Detection
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cui, ShiyongRemote Sensing Technology Institute (IMF)UNSPECIFIED
Schwarz, Gottfriedgottfried.schwarz (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2016
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:9
DOI :10.1109/JSTARS.2015.2486038
Page Range:pp. 1101-1118
Editors:
EditorsEmail
Chanussot, Jocelynjocelyn.chanussot@gipsa-lab.grenoble-inp.fr
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
ISBN:1939-1404
Status:Published
Keywords:Change detection, change simulation, information similarity measure, Synthetic Aperture Radar (SAR)
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: Cui, Shiyong
Deposited On:02 Oct 2015 15:10
Last Modified:31 Jul 2019 19:55

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