Datasets
Open Access
A 2D Near-Field Microwave Imaging Database for Machine Learning Training
- Citation Author(s):
- Submitted by:
- Colin Gilmore
- Last updated:
- Mon, 03/18/2024 - 14:42
- DOI:
- 10.21227/rh89-dv06
- Data Format:
- License:
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Abstract
With the goal of improving machine learning approaches in inverse scattering, we provide an experimental data set collected with a 2D near-field microwave imaging system. Machine learning approaches often train solely on synthetic data, and one of the reasons for this is that no experimentally-derived public data set exists. The imaging system consists of 24 antennas surrounding the imaging region, connected via a switch to a vector network analyzer. The data set contains over 1000 full Scattering parameter scans of five targets at numerous positions from 3-5 GHz.
Funding Agency:
Natural Sciences and Engineering Research Council of Canada
Dataset Files
- antenna_positions.txt (985 bytes)
- Calibration_And_Forward_Solver_Scripts.m (14.99 kB)
- custom_uhmwp_e_phantom.zip (7.00 GB)
- metal_cylinder_1.50inch_diameter.zip (1.10 GB)
- metal_cylinder_1.5inch_diameter.zip (1.10 GB)
- metal_cylinder_1.9inch_diameter.zip (1.08 GB)
- nylon_cylinder_1.5inch_diameter.zip (2.02 GB)
- nylon_cylinder_4inch_diameter.zip (1.52 GB)