Bridge vibration measurements from very high-resolution spaceborne SAR

Aleksanteri Vattulainen; Finlay Rollo; Alessandro Lotti; Daniel Tonelli; Sebastian Diaz Riofrio; Enrico Tubaldi; Daniele Zonta; Christos Ilioudis; Pietro Milillo; Carmine Clemente

doi:10.1109/SENSORS60989.2024.10785004

Bridge vibration measurements from very high-resolution spaceborne SAR

Aleksanteri Vattulainen^*, Finlay Rollo, Alessandro Lotti, Daniel Tonelli, Sebastian Diaz Riofrio, Enrico Tubaldi, Daniele Zonta, Christos Ilioudis, Pietro Milillo, Carmine Clemente

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

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Abstract

Structural health monitoring (SHM) using vibrometry is a key technique for the maintenance of bridges and other infrastructure. Conventional methods require in-situ placement of sensors which can be costly and inconvenient. This paper presents a remote monitoring method for extracting vibrational information from very high-resolution SAR data. This was achieved using a combination of a modified back-projection algorithm, spectrogram, and cadence-frequency analysis, which was applied to SAR data of a bridge. The extracted vibrations were validated against synchronous in-situ ground truth measurements.

Original language	English
DOIs	https://doi.org/10.1109/SENSORS60989.2024.10785004
Publication status	Published - 17 Dec 2024
Event	IEEE Sensors 2024 - Kobe, Japan Duration: 20 Oct 2024 → 23 Oct 2024

Conference

Conference	IEEE Sensors 2024
Country/Territory	Japan
City	Kobe
Period	20/10/24 → 23/10/24

Keywords

SAR
micro-Doppler
structural health monitoring

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10.1109/SENSORS60989.2024.10785004

Bridge_vibration_measurements_from_very_high-resolution_spaceborne_SARAccepted author manuscript, 763 KBLicence: CC BY 4.0

Cite this

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title = "Bridge vibration measurements from very high-resolution spaceborne SAR",

abstract = "Structural health monitoring (SHM) using vibrometry is a key technique for the maintenance of bridges and other infrastructure. Conventional methods require in-situ placement of sensors which can be costly and inconvenient. This paper presents a remote monitoring method for extracting vibrational information from very high-resolution SAR data. This was achieved using a combination of a modified back-projection algorithm, spectrogram, and cadence-frequency analysis, which was applied to SAR data of a bridge. The extracted vibrations were validated against synchronous in-situ ground truth measurements.",

keywords = "SAR, micro-Doppler, structural health monitoring",

author = "Aleksanteri Vattulainen and Finlay Rollo and Alessandro Lotti and Daniel Tonelli and {Diaz Riofrio}, Sebastian and Enrico Tubaldi and Daniele Zonta and Christos Ilioudis and Pietro Milillo and Carmine Clemente",

year = "2024",

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note = "IEEE Sensors 2024 ; Conference date: 20-10-2024 Through 23-10-2024",

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TY - CONF

T1 - Bridge vibration measurements from very high-resolution spaceborne SAR

AU - Vattulainen, Aleksanteri

AU - Rollo, Finlay

AU - Lotti, Alessandro

AU - Tonelli, Daniel

AU - Diaz Riofrio, Sebastian

AU - Tubaldi, Enrico

AU - Zonta, Daniele

AU - Ilioudis, Christos

AU - Milillo, Pietro

AU - Clemente, Carmine

PY - 2024/12/17

Y1 - 2024/12/17

N2 - Structural health monitoring (SHM) using vibrometry is a key technique for the maintenance of bridges and other infrastructure. Conventional methods require in-situ placement of sensors which can be costly and inconvenient. This paper presents a remote monitoring method for extracting vibrational information from very high-resolution SAR data. This was achieved using a combination of a modified back-projection algorithm, spectrogram, and cadence-frequency analysis, which was applied to SAR data of a bridge. The extracted vibrations were validated against synchronous in-situ ground truth measurements.

AB - Structural health monitoring (SHM) using vibrometry is a key technique for the maintenance of bridges and other infrastructure. Conventional methods require in-situ placement of sensors which can be costly and inconvenient. This paper presents a remote monitoring method for extracting vibrational information from very high-resolution SAR data. This was achieved using a combination of a modified back-projection algorithm, spectrogram, and cadence-frequency analysis, which was applied to SAR data of a bridge. The extracted vibrations were validated against synchronous in-situ ground truth measurements.

KW - SAR

KW - micro-Doppler

KW - structural health monitoring

UR - https://2024.ieee-sensorsconference.org/

U2 - 10.1109/SENSORS60989.2024.10785004

DO - 10.1109/SENSORS60989.2024.10785004

M3 - Paper

T2 - IEEE Sensors 2024

Y2 - 20 October 2024 through 23 October 2024

ER -

Bridge vibration measurements from very high-resolution spaceborne SAR

Abstract

Conference

Keywords

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EO4SECURITY-MicroDoppler

Bridge monitoring based on single pass SAR images

Cite this

Bridge vibration measurements from very high-resolution spaceborne SAR

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

EO4SECURITY-MicroDoppler

Bridge monitoring based on single pass SAR images

Cite this