講演抄録/キーワード |
講演名 |
2021-11-12 14:00
Detecting moving ships in ALOS-2 spotlight SAR images by deep learning model ○Takero Yoshida(TUMSAT) SANE2021-57 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
Spotlight SAR image has high resolution with long azimuth integration time. Meanwhile moving objects like ships are not focused due to the long integration time. Therefore, the moving ships in the spotlight SAR images are emerged as extended shapes in the azimuth direction. It is a typical imaging of moving ships in a spotlight mode, and therefore we can classify ships into moving and stationary cases. This paper shows the detection of moving ships by deep learning method, in particular using YOLOv5 model, which is relatively new method in a framework of YOLO family. ALOS-2/PALSAR-2 spotlight SAR images were analyzed and moving ships were detected by YOLOv5 model. |
キーワード |
(和) |
Spotlight SAR / Ship detection / YOLO / / / / / |
(英) |
/ / / / / / / |
文献情報 |
信学技報, vol. 121, no. 236, SANE2021-57, pp. 136-138, 2021年11月. |
資料番号 |
SANE2021-57 |
発行日 |
2021-11-04 (SANE) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SANE2021-57 |