Remote Sensing of Seismic Signals via Enhanced Moiré-Based Apparatus Integrated with Active Convolved Illumination
Authors/Creators
- 1. Department of Electrical and Computer Engineering, Michigan Technological University
- 2. John A. Paulson School of Engineering and Applied Sciences, Harvard University
- 3. Geological and Mining Engineering and Sciences, Michigan Technological University
Description
This dataset accompanies the research paper "Remote Sensing of Seismic Signals via Enhanced Moiré-Based Apparatus Integrated with Active Convolved Illumination." (
It includes simulations of a grating passing through various levels of atmospheric turbulence (characterized by different Cn2 values) and grating displacements. The dataset is primarily composed of .mat files, which contain both distorted grating data and the corresponding ground truth.
Additionally, the dataset provides a step-by-step process for generating moiré patterns from the distorted gratings and extracting the grating’s reading locations. The data is systematically organized:
- By the Cn2 value of the simulation.
- By the displacement of the ground truth grating.
For each scenario, 100 short realizations were conducted to ensure statistical reliability. However, due to data size limitations, only one realization for each scenario and the step-by-step figures and the corresponding codes used to generate them, are included here. Additional data can be made available upon request by contacting the PI. Researchers interested in atmospheric imaging, moiré-based measurement systems, and seismic sensing can use this dataset for reproducibility, further analysis, or comparison studies.
Citation instructions:
-
If you use the
ACI_SPC_method_Multi_MoirePattern_codepack_with_README.zip, please also cite:Ghoshroy, A.; Davis, J.; Moazzam, A. A.; Askari, R.; Güney, D. Ö.
“Enhancing Complex Light Beam Propagation in Turbulent Atmosphere with Active Convolved Illumination,”
ACS Photonics 2024, 11, 4541–4558
https://doi.org/10.1021/acsphotonics.4c00687 -
For all other files and results, cite our main paper:
Moazzam, A. A.; Ghoshroy, A.; Güney, D. Ö.; Askari, R.
“Remote Sensing of Seismic Signals via Enhanced Moiré-Based Apparatus Integrated with Active Convolved Illumination,”
Remote Sens. 2025, 17(12), 2032
https://doi.org/10.3390/rs17122032
Files
Additional details
Funding
- U.S. National Science Foundation
- EAGER: Development of Remote Sensing of Seismological Signals via the Enhanced Moiré Technique 2221730
Software
- Programming language
- MATLAB