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Region Growing Based Nonlocal Filtering for InSAR

Baier, Gerald and Zhu, Xiao Xiang (2015) Region Growing Based Nonlocal Filtering for InSAR. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IEEE Xplore. IGARSS 2015, 26. - 31. Juli 2015, Mailand, Italien.

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Official URL: http://www.igarss2015.org/Papers/ViewPapers_MS.asp?PaperNum=7125


This paper proposes a nonlocal filter variant that replaces the conventional static search window of nonlocal InSAR filters with an adaptive region growing based search window. The region growing approach has the allure that it preselects only similar pixels for the averaging process and that it may find a larger number of statistically homogeneous pixels than a traditional, fixed search window. A Monte-Carlo simulation shows the possible benefits that could be realized with the region growing approach for InSAR filtering. The proposed method is also experimentally evaluated for rural and urban test sites.

Item URL in elib:https://elib.dlr.de/97295/
Document Type:Conference or Workshop Item (Speech)
Title:Region Growing Based Nonlocal Filtering for InSAR
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Baier, Geraldgerald.baier (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:July 2015
Journal or Publication Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 1-4
EditorsEmailEditor's ORCID iD
Publisher:IEEE Xplore
Keywords:InSAR, denoising, nonlocal filter, region growing
Event Title:IGARSS 2015
Event Location:Mailand, Italien
Event Type:international Conference
Event Dates:26. - 31. Juli 2015
Organizer:IEEE Geoscience and Remote Sensing Society
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:21 Jul 2015 14:13
Last Modified:31 Jul 2019 19:54

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