Comparative study of two target detection algorithms in UAV aerial photography detection

Zhi Cheng; Jing-yuan Chen; Xin Zhang; Li-xin He

doi:10.1117/12.2606720

1 November 2021 Comparative study of two target detection algorithms in UAV aerial photography detection

Zhi Cheng, Jing-yuan Chen, Xin Zhang, Li-xin He

Proceedings Volume 12057, Twelfth International Conference on Information Optics and Photonics; 120573W (2021) https://doi.org/10.1117/12.2606720
Event: Twelfth International Conference on Information Optics and Photonics, 2021, Xi'an, China

Abstract

In this paper, the Faster R-CNN algorithm and YOLOv3 algorithm are researched and practiced based on the remote sensing image data sets. Using the same data sets and hardware environment, it mainly evaluates the average accuracy and the time-consuming for detection of the target objects in the data sets. These algorithm evaluation indicators evaluate the relative applicability of the two algorithms in practical applications. The reasons are also analyzed for the deficiencies of the two algorithms in the target detection process. It is concluded that the Faster R-CNN algorithm is more suitable for practical applications that require higher target detection accuracy, and the YOLOv3 is more suitable for practical applications that require less time-consuming.

Citation Download Citation

Zhi Cheng, Jing-yuan Chen, Xin Zhang, and Li-xin He "Comparative study of two target detection algorithms in UAV aerial photography detection", Proc. SPIE 12057, Twelfth International Conference on Information Optics and Photonics, 120573W (1 November 2021); https://doi.org/10.1117/12.2606720

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