災害小特集「東日本大震災以降の主な災害とその対応（その２）」
衛星画像を用いた台風による建物被害領域の抽出
2021 年 60 巻 6 号 p. 327-331
詳細
2021 年 60 巻 6 号 p. 327-331
We attempted to extract building damage areas from satellite images using semantic segmentation. As a result of experiments using satellite images after the 2019 Typhoon No. 15 (Faxai), the recall of the blue sheet area was 0.48 and that of the building area with damage was 0.35 in the area-based evaluation. When the building shape was obtained from the ground truth data and the number of buildings was evaluated, the recall of buildings with damage was 0.62. The challenge is to improve the accuracy by training data from multiple regions.
