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GPU-based nonlocal filtering for large scale SAR processing

Baier, Gerald and Zhu, Xiao Xiang (2016) GPU-based nonlocal filtering for large scale SAR processing. In: Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 7608-7611. IEEE Xplore. IGARSS 2016, 10.-15. July 2016, Beijing, China. doi: 10.1109/IGARSS.2016.7730984. ISSN 2153-7003 (E).

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Official URL: http://ieeexplore.ieee.org/document/7730984/


In the past few years nonlocal filters have emerged as a serious contender for denoising synthetic aperture radar (SAR) images, offering superior noise reduction and detail preservation compared to many other filters. In this manuscript we analyze how nonlocal filters, whose computational costs were so far prohibitive for large scale processing, can be implemented efficiently on graphics processing units (GPU). As a case study NL-SAR, a state of the art SAR filter, is implemented to run on a NVIDIA Tesla K40. We describe the appeal of GPUs, or any other coprocessor, for nonlocal filters. Nonlocal filtering of TanDEM-X interferograms for generating digital elevation models with a higher resolution and accuracy is given as an application that benefits from efficient and fast nonlocal filtering.

Item URL in elib:https://elib.dlr.de/108655/
Document Type:Conference or Workshop Item (Speech)
Title:GPU-based nonlocal filtering for large scale SAR processing
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Baier, GeraldGerald.Baier (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:July 2016
Journal or Publication Title:Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2016.7730984
Page Range:pp. 7608-7611
EditorsEmailEditor's ORCID iD
Publisher:IEEE Xplore
ISSN:2153-7003 (E)
Keywords:synthetic aperture radar, denoising, nonlocal graphics processing units (GPU)
Event Title:IGARSS 2016
Event Location:Beijing, China
Event Type:international Conference
Event Dates:10.-15. July 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Baier, Gerald
Deposited On:06 Dec 2016 15:51
Last Modified:31 Jul 2019 20:05

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