Deep learning algorithm to generate real radar images
This report discusses a novel way to generate GPR straight scans using generative adversarial networks (GANs). Two pix2pix GANs were developed to generate simulated B-scans from 2D trunk images and realistic B-scans from simulated B-scans. Simulated B-scans were obtained through gprMax models and...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167668 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This report discusses a novel way to generate GPR straight scans using generative adversarial
networks (GANs). Two pix2pix GANs were developed to generate simulated B-scans from 2D
trunk images and realistic B-scans from simulated B-scans. Simulated B-scans were obtained
through gprMax models and real B-scans were obtained from measurement campaigns on real
trunks. This method was shown to produce realistic images, similar to that of simulated and real
measurements. |
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