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Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application

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dc.contributor.author De La Cruz L. es_PE
dc.contributor.author Milla M.A. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2020
dc.description.abstract A 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. © 2020 IEEE.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1109/INTERCON50315.2020.9220189
dc.identifier.scopus 2-s2.0-85095435399
dc.identifier.uri https://hdl.handle.net/20.500.12390/2494
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
dc.rights info:eu-repo/semantics/openAccess
dc.subject RMA
dc.subject DLIP es_PE
dc.subject FDBP es_PE
dc.subject GB-SAR es_PE
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#2.02.04
dc.title Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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