Data augmentation of ground penetrating radar images by pix2pix and its effect
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- KIMOTO Tomoyuki
- National Institute of Technology, Oita college
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- MATSUI Shota
- National Institute of Technology, Oita college
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- SONODA Jun
- National Institute of Technology, Sendai college
Bibliographic Information
- Other Title
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- pix2pixを用いた地中レーダ画像のデータかさ増しとその効果
Abstract
<p>The our purpose is to develop the AI system to identify whether or not it is a risk factor for underground objects from ground penetrating radar images. So far, we have developed a method to generate a large amount of radar images by the FDTD method and then to train the AI system. However, it is difficult to generate a large amount of radar images because the FDTD method needs huge computer power. In this study, we report a method to generate a large amount of radar images similar to the FDTD method using pix2pix.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2023 (0), 4F3GS1005-4F3GS1005, 2023
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390015333244759808
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- ISSN
- 27587347
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed