Title
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application
Date Issued
01 September 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
De La Cruz L.
MILLA BRAVO, MARCO ANTONIO
Instituto Geofísico del Perú
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
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.
Language
English
OCDE Knowledge area
Geología
Subjects
DOI
10.1109/INTERCON50315.2020.9220189
Scopus EID
2-s2.0-85095435399
PubMed ID
10.1109/INTERCON50315.2020.9220189
ISBN
9781728193779
Source
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Source funding
Sistema de control y monitoreo de deslizamientos usando interferometria de radar, para la predicción, alerta y mapeo de zonas de derrumbes, huaycos, colapso de estructuras, aplicado a la prevención y mitigación de desastres
Source project
Sistema de control y monitoreo de deslizamientos usando interferometria de radar, para la predicción, alerta y mapeo de zonas de derrumbes, huaycos, colapso de estructuras, aplicado a la prevención y mitigación de desastres
Sponsor(s)
ACKNOWLEDGMENT Special thanks to the CIELO (Cluster of Instruments for Equatorial & Low-Latitude Observations) team at JRO for its technical support and to FONDECYT (Fondo Nacional de Desarrollo Científico y Tecnológico) for its financial support under award agreement No. 099-2014-FONDECYT-DE. JRO is a facility of the Instituto Geofísico del Perú operated with support from NSF AGS-1732209 through Cornell University.
Sources of information: Directorio de Producción Científica Scopus