Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
We propse a method for dense 3-D visualization of underground information by interplating ground penetrating radar images. A ground penetrating radar can only measure the condition of the underground directly below a survey line. So, for dense measurements, it is necessary to narrow the interval between survey lines. In this paper, we generate intermediate images between survey lines by interpolation with GAN. By using the generated images, we can reduce the cost of the measuring and visualize dense 3-D information of underground. We have shown that our method can generate more accurate interpolate images than linear interpolation.