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

Luis De La Cruz; Marco A. Milla

doi:10.1109/INTERCON50315.2020.9220189

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

Luis De La Cruz, Marco A. Milla

Jicamarca Radio Observatory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193779
DOIs	https://doi.org/10.1109/INTERCON50315.2020.9220189
State	Published - Sep 2020
Externally published	Yes
Event	27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 - Virtual, Lima, Peru Duration: 3 Sep 2020 → 5 Sep 2020

Publication series

Name	Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

Conference

Conference	27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Country/Territory	Peru
City	Virtual, Lima
Period	3/09/20 → 5/09/20

Keywords

DLIP
FDBP
GB-SAR
RMA

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/INTERCON50315.2020.9220189

Cite this

De La Cruz, L., & Milla, M. A. (2020). Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application. In Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 Article 9220189 (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON50315.2020.9220189

De La Cruz, Luis ; Milla, Marco A. / Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application. Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020).

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title = "Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application",

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.",

keywords = "DLIP, FDBP, GB-SAR, RMA",

author = "{De La Cruz}, Luis and Milla, {Marco A.}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 ; Conference date: 03-09-2020 Through 05-09-2020",

year = "2020",

month = sep,

doi = "10.1109/INTERCON50315.2020.9220189",

language = "English",

series = "Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020",

}

De La Cruz, L & Milla, MA 2020, Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application. in Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020., 9220189, Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020, Institute of Electrical and Electronics Engineers Inc., 27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020, Virtual, Lima, Peru, 3/09/20. https://doi.org/10.1109/INTERCON50315.2020.9220189

Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application. / De La Cruz, Luis; Milla, Marco A.
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9220189 (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Milla, Marco A.

PY - 2020/9

Y1 - 2020/9

N2 - 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.

AB - 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.

KW - DLIP

KW - FDBP

KW - GB-SAR

KW - RMA

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U2 - 10.1109/INTERCON50315.2020.9220189

DO - 10.1109/INTERCON50315.2020.9220189

M3 - Conference contribution

AN - SCOPUS:85095435399

T3 - Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

BT - Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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De La Cruz L, Milla MA. Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application. In Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9220189. (Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020). doi: 10.1109/INTERCON50315.2020.9220189

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

Abstract

Publication series

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Keywords

UN SDGs

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