Compositing Ground Penetrating Radar Scans of Differing Frequencies for Better Depth Perception
- Univ. of California, Santa Cruz, CA (United States)
Methods developed to reduce interference in a noisy environment, be it radar target responses or effective communications in the presence of noise for mobile phone users, are vital in delivering a clear usable signal. The methods used to render a cleaner signal can also be used to combine signals of various frequencies. Ground Penetrating Radar (GPR) scans over the same area are no exception. This paper explores using an optimization problem solver, the Expectation Maximization (EM) Algorithm, to define the weights to use to combine multiple GPR scans at different frequencies over the same target area. This approach exploits the Gaussian Mixture Model (GMM) feature of the EM algorithm to produce a cleaner image at depth. Our method demonstrates a measured improvement toward producing a cleaner image.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1429705
- Report Number(s):
- SAND--2017-13172J; 659303
- Journal Information:
- International Journal on Advances in Software, Journal Name: International Journal on Advances in Software Journal Issue: 3&4 Vol. 10; ISSN 1942-2628
- Publisher:
- IARIACopyright Statement
- Country of Publication:
- United States
- Language:
- English
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