Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data

Ling Chang; Rolf P.B.J. Dollevoet; Ramon F. Hanssen

doi:10.1109/IGARSS.2018.8518364

Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data

Ling Chang, Rolf P.B.J. Dollevoet, Ramon F. Hanssen

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

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Abstract

Satellite radar interferometry (InSAR) has been used to monitor the structural health of line-infrastructure (e.g. railways, bridges, dams and dikes) in recent years. This enables the retrieval of millimeter-level changes in the line-infrastructure geometry on a bi-weekly basis. However, InSAR is an opportunistic method for which the location of the measurements (coherent scatterers) cannot be guaranteed, and the quality of the InSAR products vary from one case to another. Particularly, this is due to the orientation of the line-infrastructure relative to the satellite position, and its expected deformation magnitude and direction. Hence, the InSAR applicability and performance quality is not uniform. In operational situations, this tends to make asset managers skeptical about the potential of InSAR application on these assets. In this work, following [1] we develop new standard InSAR products for line-infrastructure monitoring, provide tools for predicting optimal multi-sensor SAR data combinations, and propose generic a priori performance assessment metrics for line-infrastructure. These products and metrics are tested on the Dutch railway line-infrastructure asset."

Original language	English
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	4423-4426
Number of pages	4
ISBN (Electronic)	978-1-5386-7150-4
ISBN (Print)	978-1-5386-7149-8 (USB), 978-1-5386-7151-1
DOIs	https://doi.org/10.1109/IGARSS.2018.8518364
Publication status	Published - 31 Oct 2018
Event	38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018 Conference number: 38 https://www.igarss2018.org/

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE
Volume	2018
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Abbreviated title	2018
Country/Territory	Spain
City	Valencia
Period	22/07/18 → 27/07/18
Internet address	https://www.igarss2018.org/

Keywords

Line-infrastructure
Multi-sensor SAR
2024 OA procedure

UN SDGs

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

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10.1109/IGARSS.2018.8518364

ArticleFinal published version, 875 KBLicence: Taverne

Cite this

Chang, L., Dollevoet, R. P. B. J., & Hanssen, R. F. (2018). Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 4423-4426). Article 8518364 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018). IEEE. https://doi.org/10.1109/IGARSS.2018.8518364

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title = "Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data",

abstract = "Satellite radar interferometry (InSAR) has been used to monitor the structural health of line-infrastructure (e.g. railways, bridges, dams and dikes) in recent years. This enables the retrieval of millimeter-level changes in the line-infrastructure geometry on a bi-weekly basis. However, InSAR is an opportunistic method for which the location of the measurements (coherent scatterers) cannot be guaranteed, and the quality of the InSAR products vary from one case to another. Particularly, this is due to the orientation of the line-infrastructure relative to the satellite position, and its expected deformation magnitude and direction. Hence, the InSAR applicability and performance quality is not uniform. In operational situations, this tends to make asset managers skeptical about the potential of InSAR application on these assets. In this work, following [1] we develop new standard InSAR products for line-infrastructure monitoring, provide tools for predicting optimal multi-sensor SAR data combinations, and propose generic a priori performance assessment metrics for line-infrastructure. These products and metrics are tested on the Dutch railway line-infrastructure asset.{"}",

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doi = "10.1109/IGARSS.2018.8518364",

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note = "38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 : Observing, Understanding and Forcasting the Dynamics of Our Planet, 2018 ; Conference date: 22-07-2018 Through 27-07-2018",

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Chang, L, Dollevoet, RPBJ & Hanssen, RF 2018, Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data. in 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings., 8518364, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018, IEEE, Piscataway, NJ, pp. 4423-4426, 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8518364

Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data. / Chang, Ling; Dollevoet, Rolf P.B.J.; Hanssen, Ramon F.
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Piscataway, NJ: IEEE, 2018. p. 4423-4426 8518364 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018).

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

TY - GEN

T1 - Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data

AU - Chang, Ling

AU - Dollevoet, Rolf P.B.J.

AU - Hanssen, Ramon F.

N1 - Conference code: 38

PY - 2018/10/31

Y1 - 2018/10/31

N2 - Satellite radar interferometry (InSAR) has been used to monitor the structural health of line-infrastructure (e.g. railways, bridges, dams and dikes) in recent years. This enables the retrieval of millimeter-level changes in the line-infrastructure geometry on a bi-weekly basis. However, InSAR is an opportunistic method for which the location of the measurements (coherent scatterers) cannot be guaranteed, and the quality of the InSAR products vary from one case to another. Particularly, this is due to the orientation of the line-infrastructure relative to the satellite position, and its expected deformation magnitude and direction. Hence, the InSAR applicability and performance quality is not uniform. In operational situations, this tends to make asset managers skeptical about the potential of InSAR application on these assets. In this work, following [1] we develop new standard InSAR products for line-infrastructure monitoring, provide tools for predicting optimal multi-sensor SAR data combinations, and propose generic a priori performance assessment metrics for line-infrastructure. These products and metrics are tested on the Dutch railway line-infrastructure asset."

AB - Satellite radar interferometry (InSAR) has been used to monitor the structural health of line-infrastructure (e.g. railways, bridges, dams and dikes) in recent years. This enables the retrieval of millimeter-level changes in the line-infrastructure geometry on a bi-weekly basis. However, InSAR is an opportunistic method for which the location of the measurements (coherent scatterers) cannot be guaranteed, and the quality of the InSAR products vary from one case to another. Particularly, this is due to the orientation of the line-infrastructure relative to the satellite position, and its expected deformation magnitude and direction. Hence, the InSAR applicability and performance quality is not uniform. In operational situations, this tends to make asset managers skeptical about the potential of InSAR application on these assets. In this work, following [1] we develop new standard InSAR products for line-infrastructure monitoring, provide tools for predicting optimal multi-sensor SAR data combinations, and propose generic a priori performance assessment metrics for line-infrastructure. These products and metrics are tested on the Dutch railway line-infrastructure asset."

KW - Line-infrastructure

KW - Multi-sensor SAR

KW - 2024 OA procedure

U2 - 10.1109/IGARSS.2018.8518364

DO - 10.1109/IGARSS.2018.8518364

M3 - Conference contribution

AN - SCOPUS:85063128675

SN - 978-1-5386-7149-8 (USB)

SN - 978-1-5386-7151-1

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 4423

EP - 4426

BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings

PB - IEEE

CY - Piscataway, NJ

T2 - 38th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

Y2 - 22 July 2018 through 27 July 2018

ER -

Chang L, Dollevoet RPBJ, Hanssen RF. Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Piscataway, NJ: IEEE. 2018. p. 4423-4426. 8518364. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2018.8518364

Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data

Abstract

Publication series

Conference

Keywords

UN SDGs

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