SAR image ship target detection based on sea-land segmentation and YOLO anchor free

Xiaoya Jia; Hongqiao Wang; Mian Wang; Ling Wang

doi:10.1117/12.2623405

4 March 2022 SAR image ship target detection based on sea-land segmentation and YOLO anchor free

Xiaoya Jia, Hongqiao Wang, Mian Wang, Ling Wang

Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021); 120840Q (2022) https://doi.org/10.1117/12.2623405
Event: Fourteenth International Conference on Machine Vision (ICMV 2021), 2021, Rome, Italy

Abstract

In response to the needs of maritime target monitoring, combined with the practical application of Synthetic Aperture Radar (SAR), an anchor free SAR image ship target detection model (AF-YOLO) based on YOLO under the premise of sea-land segmentation is proposed. Sea-land segmentation based on the Otsu can remove interference from the terrestrial environment and improve the identification of ships. The detection head based on the anchor free is applied to YOLO, and the weightable feature fusion structure is used for multi-scale fusion. Experiments have shown that the mAP of the proposed algorithm on the public SAR ship data set has reached 93.4%.

Citation Download Citation

Xiaoya Jia, Hongqiao Wang, Mian Wang, and Ling Wang "SAR image ship target detection based on sea-land segmentation and YOLO anchor free", Proc. SPIE 12084, Fourteenth International Conference on Machine Vision (ICMV 2021), 120840Q (4 March 2022); https://doi.org/10.1117/12.2623405

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available