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An Innovative Curvelet-only-Based Approach for Automated Change Detection in Multi-Temporal SAR Imagery

Schmitt, Andreas and Wessel, Birgit and Roth, Achim (2014) An Innovative Curvelet-only-Based Approach for Automated Change Detection in Multi-Temporal SAR Imagery. Remote Sensing (6), pp. 2435-2462. Multidisciplinary Digital Publishing Institute (MDPI). ISSN 2072-4292

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Official URL: http://www.mdpi.com/2072-4292/6/3/2435

Abstract

This paper presents a novel approach for automated image comparison and robust change detection from noisy imagery, such as synthetic aperture radar (SAR) amplitude images. Instead of comparing pixel values and/or pre-classified features this approach clearly highlights structural changes without any preceding segmentation or classification step. The crucial point is the use of the Curvelet transform in order to express the image as composition of several structures instead of numerous individual pixels. Differentiating these structures and weighting their impact according to the image statistics produces a smooth, but detail-preserved change image. The Curvelet-based approach is validated by the standard technique for SAR change detection, the log-ratio with and without additional gamma maximum-a-posteriori (GMAP) speckle filtering, and by the results of human interpreters. The validation proves that the new technique can easily compete with these automated as well as visual interpretation techniques. Finally, a sequence of TerraSAR-X High Resolution Spotlight images of a factory building construction site near Ludwigshafen (Germany) is processed in order to identify single construction stages by the time of the (dis-)appearance of certain objects. Hence, the complete construction monitoring of the whole building and its surroundings becomes feasible.

Item URL in elib:https://elib.dlr.de/91721/
Document Type:Article
Title:An Innovative Curvelet-only-Based Approach for Automated Change Detection in Multi-Temporal SAR Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schmitt, AndreasAndreas.Schmitt (at) dlr.deUNSPECIFIED
Wessel, BirgitBirgit.Wessel (at) dlr.deUNSPECIFIED
Roth, AchimAchim.Roth (at) dlr.deUNSPECIFIED
Date:19 March 2014
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
Page Range:pp. 2435-2462
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:radar application; monitoring; image representations; image enhancement; image sequence analysis
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Schmitt, Andreas
Deposited On:21 Nov 2014 08:25
Last Modified:08 Mar 2018 18:49

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