InSARTrac: a novel approach for remote acquisition of 3D slope displacement vectors
The recent advent of terrestrial interferometric synthetic aperture radar (InSAR) has greatly enhanced the ability of monitoring slope deformation. However, the displacements obtained are one-dimensional, offering little insight into the underlying deformation mechanism. This study summarizes an app...
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description | The recent advent of terrestrial interferometric synthetic aperture radar (InSAR) has greatly enhanced the ability of monitoring slope deformation. However, the displacements obtained are one-dimensional, offering little insight into the underlying deformation mechanism. This study summarizes an approach for obtaining three-dimensional slope displacement vectors through the integration of InSAR and two-dimensional image feature tracking (FT) technologies. The method, referred to as InSARTrac, uses a single digital camera oriented in the InSAR line of sight (LOS) generating time-lapse imagery, from which FT extracts (sub-) pixel shifts of pixel clusters. The 1D LOS InSAR measurements are vectorially combined with the 2D normal to the LOS FT measurements to obtain the 3D displacement vector. Bench-scale target displacement tests using a high precision translation for displacement and reference gave a 3D accuracy of 0.05 mm at a distance of 13 m, which corresponds to 1.3 mm at 500 m, assuming linear behaviour. These initial results indicate that InSARTrac can provide a reliable means for obtaining accurate 3D slope displacement vectors remotely and without the use of reflectors. Current studies are focused on implementing InSARTrac in a number of different field environments to investigate outdoor measurement accuracy and the range of potential applications. |
doi_str_mv | 10.1088/1755-1315/833/1/012148 |
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However, the displacements obtained are one-dimensional, offering little insight into the underlying deformation mechanism. This study summarizes an approach for obtaining three-dimensional slope displacement vectors through the integration of InSAR and two-dimensional image feature tracking (FT) technologies. The method, referred to as InSARTrac, uses a single digital camera oriented in the InSAR line of sight (LOS) generating time-lapse imagery, from which FT extracts (sub-) pixel shifts of pixel clusters. The 1D LOS InSAR measurements are vectorially combined with the 2D normal to the LOS FT measurements to obtain the 3D displacement vector. Bench-scale target displacement tests using a high precision translation for displacement and reference gave a 3D accuracy of 0.05 mm at a distance of 13 m, which corresponds to 1.3 mm at 500 m, assuming linear behaviour. These initial results indicate that InSARTrac can provide a reliable means for obtaining accurate 3D slope displacement vectors remotely and without the use of reflectors. Current studies are focused on implementing InSARTrac in a number of different field environments to investigate outdoor measurement accuracy and the range of potential applications.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/833/1/012148</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Deformation mechanisms ; Digital cameras ; Displacement ; Interferometric synthetic aperture radar ; Line of sight ; Pixels ; Reflectors ; Terrestrial environments</subject><ispartof>IOP conference series. Earth and environmental science, 2021-08, Vol.833 (1), p.12148</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2021. 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Earth and environmental science</title><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><description>The recent advent of terrestrial interferometric synthetic aperture radar (InSAR) has greatly enhanced the ability of monitoring slope deformation. However, the displacements obtained are one-dimensional, offering little insight into the underlying deformation mechanism. This study summarizes an approach for obtaining three-dimensional slope displacement vectors through the integration of InSAR and two-dimensional image feature tracking (FT) technologies. The method, referred to as InSARTrac, uses a single digital camera oriented in the InSAR line of sight (LOS) generating time-lapse imagery, from which FT extracts (sub-) pixel shifts of pixel clusters. The 1D LOS InSAR measurements are vectorially combined with the 2D normal to the LOS FT measurements to obtain the 3D displacement vector. Bench-scale target displacement tests using a high precision translation for displacement and reference gave a 3D accuracy of 0.05 mm at a distance of 13 m, which corresponds to 1.3 mm at 500 m, assuming linear behaviour. These initial results indicate that InSARTrac can provide a reliable means for obtaining accurate 3D slope displacement vectors remotely and without the use of reflectors. Current studies are focused on implementing InSARTrac in a number of different field environments to investigate outdoor measurement accuracy and the range of potential applications.</description><subject>Deformation mechanisms</subject><subject>Digital cameras</subject><subject>Displacement</subject><subject>Interferometric synthetic aperture radar</subject><subject>Line of sight</subject><subject>Pixels</subject><subject>Reflectors</subject><subject>Terrestrial environments</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkNtKAzEQhoMoWKuvIAFvvFk3h81hvSu1HqAg2Hod0myCW7abNNkWfHu3rFQEwasZmG_-GT4ArjG6w0jKHAvGMkwxyyWlOc4RJriQJ2B0HJweeyTOwUVKa4S4KGg5AouXdjF5W0Zt7qGGrd_bBuoQotfmAzofYbQb31mozXZXp7qrfQu9g_QBpsYHC6s6hUYbu7FtB_fWdD6mS3DmdJPs1Xcdg_fH2XL6nM1fn16mk3lmKCEyw4QbJnFFhKjQiggnRcGsdqxEnEhqRWEk1wUyxslVYVaCV5w56mjJLBOlpWNwM-T27253NnVq7Xex7U8qwnjJBUOo7Ck-UCb6lKJ1KsR6o-OnwkgdBKqDG3XwpHqBCqtBYL94OyzWPvwkz2aLX5gKletR8gf6T_4X3xh-AQ</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Zambanini, C</creator><creator>Kieffer, D S</creator><creator>Lienhart, W</creator><creator>Woschitz, H</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20210801</creationdate><title>InSARTrac: a novel approach for remote acquisition of 3D slope displacement vectors</title><author>Zambanini, C ; Kieffer, D S ; Lienhart, W ; Woschitz, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3228-126c581d277d0b27f8745eaf5906283e74c86a40ccf8b4cb76d65f3f395e579e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Deformation mechanisms</topic><topic>Digital cameras</topic><topic>Displacement</topic><topic>Interferometric synthetic aperture radar</topic><topic>Line of sight</topic><topic>Pixels</topic><topic>Reflectors</topic><topic>Terrestrial environments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zambanini, C</creatorcontrib><creatorcontrib>Kieffer, D S</creatorcontrib><creatorcontrib>Lienhart, W</creatorcontrib><creatorcontrib>Woschitz, H</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zambanini, C</au><au>Kieffer, D S</au><au>Lienhart, W</au><au>Woschitz, H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>InSARTrac: a novel approach for remote acquisition of 3D slope displacement vectors</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><date>2021-08-01</date><risdate>2021</risdate><volume>833</volume><issue>1</issue><spage>12148</spage><pages>12148-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>The recent advent of terrestrial interferometric synthetic aperture radar (InSAR) has greatly enhanced the ability of monitoring slope deformation. However, the displacements obtained are one-dimensional, offering little insight into the underlying deformation mechanism. This study summarizes an approach for obtaining three-dimensional slope displacement vectors through the integration of InSAR and two-dimensional image feature tracking (FT) technologies. The method, referred to as InSARTrac, uses a single digital camera oriented in the InSAR line of sight (LOS) generating time-lapse imagery, from which FT extracts (sub-) pixel shifts of pixel clusters. The 1D LOS InSAR measurements are vectorially combined with the 2D normal to the LOS FT measurements to obtain the 3D displacement vector. Bench-scale target displacement tests using a high precision translation for displacement and reference gave a 3D accuracy of 0.05 mm at a distance of 13 m, which corresponds to 1.3 mm at 500 m, assuming linear behaviour. These initial results indicate that InSARTrac can provide a reliable means for obtaining accurate 3D slope displacement vectors remotely and without the use of reflectors. 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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Institute of Physics Open Access Journal Titles; IOPscience extra |
subjects | Deformation mechanisms Digital cameras Displacement Interferometric synthetic aperture radar Line of sight Pixels Reflectors Terrestrial environments |
title | InSARTrac: a novel approach for remote acquisition of 3D slope displacement vectors |
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