Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
36th (2022)
Session ID : 2P5-GS-10-03
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Underground object recognition using interpolated GPR images
Kaito TOKUSHIGE*Yasushi KANAZAWAJun SONODATomoyuki KIMOTO
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

We propse a method for recognising an underground object using interpolated ground penetrating radar images. A ground penetrating radar can measure the condition of the underground directly but only see below a survey line. So, for dense measurements, it is necessary to set many survey lines in the area. In this paper, we first generate intermediate images between sparse survey lines by GAN-based network, and then recognise the size and position of the underground object using CNN-LSTM-based network. The effectiveness of our method was confirmed by experiments using simulated images.

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© 2022 The Japanese Society for Artificial Intelligence
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