Region growing based nonlocal filtering for InSAR

Gerald Baier, Xiao Xiang Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4081-4084
Number of pages4
ISBN (Electronic)9781479979295
DOIs
StatePublished - 10 Nov 2015
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

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