Document Type
Article
Publication Date
6-12-2025
Department
Department of Electrical and Computer Engineering; Department of Geological and Mining Engineering and Sciences
Abstract
The remote sensing of seismic waves in challenging and hazardous environments, such as active volcanic regions, remains a critical yet unresolved challenge. Conventional methods, including laser Doppler interferometry, InSAR, and stereo vision, are often hindered by atmospheric turbulence or necessitate access to observation sites, significantly limiting their applicability. To overcome these constraints, this study introduces a Moiré-based apparatus augmented with active convolved illumination (ACI). The system leverages the displacement-magnifying properties of Moiré patterns to achieve high precision in detecting subtle ground movements. Additionally, ACI effectively mitigates atmospheric fluctuations, reducing the distortion and alteration of measurement signals caused by these fluctuations. We validated the performance of this integrated solution through over 1900 simulations under diverse turbulence intensities. The results illustrate the synergistic capabilities of the Moiré apparatus and ACI in preserving the fidelity of Moiré fringes, enabling reliable displacement measurements even under conditions where passive methods fail. This study establishes a cost-effective, scalable, and non-invasive framework for remote seismic monitoring, offering transformative potential across geophysics, volcanology, structural analysis, metrology, and other domains requiring precise displacement measurements under extreme conditions.
Publication Title
Remote Sensing
Recommended Citation
Moazzam, A.,
Ghoshroy, A.,
Güney, D.,
&
Askari, R.
(2025).
Remote Sensing of Seismic Signals via Enhanced Moiré-Based Apparatus Integrated with Active Convolved Illumination.
Remote Sensing,
17(12).
http://doi.org/10.3390/rs17122032
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/1780
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Included in
Electrical and Computer Engineering Commons, Geological Engineering Commons, Mining Engineering Commons
Publisher's Statement
Copyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. Publisher’s version of record: https://doi.org/10.3390/rs17122032