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Optimized parallelization of non-local means filter for image noise reduction of InSAR image

Shi, Yilei and Zhu, Xiao Xiang and Bamler, Richard (2015) Optimized parallelization of non-local means filter for image noise reduction of InSAR image. In: 2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics, pp. 1515-1518. IEEE. 2015 IEEE International Conference on Information and Automation, 08.-10. Aug. 2015, Lijiang, China. DOI: 10.1109/ICInfA.2015.7279525 ISBN 978-1-4673-9104-7

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Official URL: https://ieeexplore.ieee.org/document/7279525/

Abstract

Non-local means filter is widely used for image noise reduction. Although the sequential implementation for this algorithm has been successfully applied to large scale InSAR problems, few parallel versions of the non-local InSAR filters have addressed well algorithm characteristics such as an unpredictable workload balance, a strong data dependency. These challenges engender many interesting design issues including domain decomposition, data access, management and workload balancing. This paper presents a sophisticated and improved parallel scheme for the iterative non-local Interferometric Synthetic Aperture Radar (InSAR) filters. The proposed algorithm gives a better speedup and high efficiency. Results for numerical simulations and performance measurements were obtained on SuperMUC.

Item URL in elib:https://elib.dlr.de/119966/
Document Type:Conference or Workshop Item (Speech)
Title:Optimized parallelization of non-local means filter for image noise reduction of InSAR image
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shi, YileiTU-MünchenUNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIED
Bamler, RichardDLR-IMF/TUM-LMFUNSPECIFIED
Date:August 2015
Journal or Publication Title:2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1109/ICInfA.2015.7279525
Page Range:pp. 1515-1518
Publisher:IEEE
ISBN:978-1-4673-9104-7
Status:Published
Keywords:nonlocal means filtering, TanDEM-X, DEM, InSAR, 6m DEM, SuperMUC, parallelization
Event Title:2015 IEEE International Conference on Information and Automation
Event Location:Lijiang, China
Event Type:international Conference
Event Dates:08.-10. Aug. 2015
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 > SAR Signal Processing
Remote Sensing Technology Institute > Leitungsbereich MF
Deposited By: Wang, Yuanyuan
Deposited On:24 May 2018 12:39
Last Modified:25 May 2018 18:34

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