Comparison of GB-SAR imaging algorithms for a landslide monitoring application

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dc.contributor.authorDe la Cruz, Luis
dc.contributor.authorMilla, Marco
dc.date.accessioned2021-02-16T15:19:22Z
dc.date.available2021-02-16T15:19:22Z
dc.date.issued2020-10-12
dc.description.abstractA comparative analysis of three imaging algorithms for Ground Based Synthetic Aperture Radar (GB-SAR) systems has been conducted in order to select the most appropriate algorithm to be used in a landslide monitoring application. These algorithms are Frequency Domain Back Projection (FDBP), Range Migration Algorithm (RMA), and Discrete Linear Inverse Problem (DLIP). The comparison is based on image reconstruction quality, computational efficiency, and displacement measurement accuracy. Simulated and real data were used to test and compare the algorithms. Results show that FDBP is the most appropriate method for the proposed application.es_ES
dc.description.peer-reviewPor pareses_ES
dc.formatapplication/pdfes_ES
dc.identifier.citationDe La Cruz, L., & Milla, M. A. (2020). Comparison of GB-SAR imaging algorithms for a landslide monitoring application. In==$IEEE International Congress on Electronics, Electrical Engineering and Computing (INTERCON).$==https://doi.org/10.1109/INTERCON50315.2020.9220189es_ES
dc.identifier.doihttps://doi.org/10.1109/INTERCON50315.2020.9220189es_ES
dc.identifier.govdocindex-oti2018
dc.identifier.urihttp://hdl.handle.net/20.500.12816/4919
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.relation.ispartofurn:isbn:978-1-7281-9377-9
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.subjectImage reconstructiones_ES
dc.subjectImaginges_ES
dc.subjectMonitoringes_ES
dc.subjectAzimuthes_ES
dc.subjectRadar imaginges_ES
dc.subjectTerrain factorses_ES
dc.subjectDisplacement measurementes_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.05.01es_ES
dc.titleComparison of GB-SAR imaging algorithms for a landslide monitoring applicationes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES

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