UAV target detection algorithm based on improved fine-grained feature aggregation

Wei Wang

doi:10.1117/12.3029837

21 June 2024 UAV target detection algorithm based on improved fine-grained feature aggregation

Wei Wang

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316738 (2024) https://doi.org/10.1117/12.3029837
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

UAVs are used in various scientific and applied research due to their flexibility, compactness, intelligence and autonomy. Target detection problem for UAVs has gained many results in academia in recent years. In the target detection of UAVs, selecting the appropriate deep learning framework and targeting the functional refinement is one of the more important steps. In this paper, based on the principle of FGFA algorithm, we improve the FGFA (Fine-Grained Feature Aggregation) algorithm to accomplish the utilization of temporal information in the video of UAV target detection dataset. The model is benchmarked and compared with other target detection methods using publicly available UAV datasets. The experimental results show that the method in this paper has better performance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wei Wang "UAV target detection algorithm based on improved fine-grained feature aggregation", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316738 (21 June 2024); https://doi.org/10.1117/12.3029837

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Target detection

Detection and tracking algorithms

Unmanned aerial vehicles

Feature extraction

Optical flow

Performance modeling

Small targets

Show All Keywords

Keywords/Phrases

Search In:

Publication Years