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About A Gans-Based Deep Learning Framework For Automatic Subsurface Object Recognition From Ground Penetrating Radar Data
The document presents a GAN-based deep learning framework for automatic subsurface object recognition from GPR data. It proposes using GANs to generate new GPR training data to address the lack of labeled data. It then uses a single-stage deep learning object detector to automatically identify hyperbolas in GPR images. The framework achieves 97% mean Average Precision on real GPR data, outperforming other detection methods. It demonstrates good generalizability through cross-validation on independent datasets.
Detailed Information
| Author: | ['Abrar Wali'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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