Dr. Han Fu Profile

Dr. Han Fu

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 4 December 2024 Paper

Corner-based ship detection method in complex SAR scenarios

Haotian Yuan, Han Fu, Xiao-Ming Li

Proceedings Volume 13283, 132832G (2024) https://doi.org/10.1117/12.3036781

KEYWORDS: Synthetic aperture radar, Detection and tracking algorithms, Backscatter, Feature extraction, Corner detection, Algorithm development, Image enhancement, Deep learning

Read Abstract +

Addressing the issue of low accuracy in ship detection using Synthetic Aperture Radar (SAR) images in coastal scenarios, this paper proposes a YOLOv10-based method. Firstly, SAR images are processed through the Harris algorithm to generate corner feature maps that reflect key scattering characteristics. Subsequently, the ECA(Efficient Channel Attention) is introduced to construct ECA-C2f module, thereby enhancing the focus of YOLOv10 on important channel-wise features. Finally, the SAR images along with the corner feature maps are input into the network to complete the detection. Furthermore, to verify the generalizability of corner features, this study also applies the feature across multiple detection networks. Experimental results show that the improved YOLOv10 achieves the AP50 of 94.11% on the test set, and the corner feature enhances accuracy across different detection networks. This study presents a high-precision method for ship detection in coastal SAR scenes and demonstrates the effectiveness and generalizability of corner feature in this task.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years