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An Evolutionary Algorithm for fast intensity based image matching between optical and SAR imagery

Fischer, Peter and Schuegraf, Philipp and Merkle, Nina Marie and Storch, Tobias (2018) An Evolutionary Algorithm for fast intensity based image matching between optical and SAR imagery. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV (3), pp. 83-90. ISPRS TC III Mid-term Symposium, 7.-10. May 2018, Beijing, China. DOI: 10.5194/isprs-annals-IV-3-83-2018 ISSN 2194-9042

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Abstract

This paper presents a hybrid evolutionary algorithm for fast intensity based matching between satellite imagery from SAR and very high-resolution (VHR) optical sensor systems. The precise and accurate co-registration of image time series and images of different sensors is a key task in multi-sensor image processing scenarios. The necessary preprocessing step of image matching and tie-point detection is divided into a search problem and a similarity measurement. Within this paper we evaluate the use of an evolutionary search strategy for establishing the spatial correspondence between satellite imagery of optical and radar sensors. The aim of the proposed algorithm is to decrease the computational costs during the search process by formulating the search as an optimization problem. Based upon the canonical evolutionary algorithm, the proposed algorithm is adapted for SAR/optical imagery intensity based matching. Extensions are drawn using techniques like hybridization (e.g. local search) and others to lower the number of objective function calls and refine the result. The algorithm significantely decreases the computational costs whilst finding the optimal solution in a reliable way.

Item URL in elib:https://elib.dlr.de/120202/
Document Type:Conference or Workshop Item (Speech)
Title:An Evolutionary Algorithm for fast intensity based image matching between optical and SAR imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fischer, PeterPeter.Fischer (at) dlr.deUNSPECIFIED
Schuegraf, Philippschuegra (at) hm.eduUNSPECIFIED
Merkle, Nina MarieNina.Merkle (at) dlr.dehttps://orcid.org/0000-0003-4177-1066
Storch, Tobiastobias.storch (at) dlr.deUNSPECIFIED
Date:May 2018
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:IV
DOI :10.5194/isprs-annals-IV-3-83-2018
Page Range:pp. 83-90
ISSN:2194-9042
Status:Published
Keywords:Evolutionary Algorithms, Image Matching
Event Title:ISPRS TC III Mid-term Symposium
Event Location:Beijing, China
Event Type:international Conference
Event Dates:7.-10. May 2018
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: Fischer, Peter
Deposited On:26 Jun 2018 14:12
Last Modified:31 Jul 2019 20:17

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