Research on remote sensing small object detection algorithm based on improved YOLOv8

Shaoming Wang; Dongbi Zhu; Wei Zhang; Jialin Xie

doi:10.1117/12.3029814

21 June 2024 Research on remote sensing small object detection algorithm based on improved YOLOv8

Shaoming Wang, Dongbi Zhu, Wei Zhang, Jialin Xie

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131670G (2024) https://doi.org/10.1117/12.3029814
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

Remote sensing target detection is a component of the computer vision field, with broad applications in natural disaster early warning and military operations. This study focuses on improving YOLOv8 network structure and proposes a small target detection network, YOLOv8-RSG, which incorporates multi-scale feature fusion. The dataset is augmented using the Mosaic data augmentation method to enhance small target detection capabilities. To address the issue of suboptimal detection performance in densely populated small target areas in remote sensing images, an incentive weight factor is introduced into the confidence loss function to optimize the function. Additionally, WIOU is utilized as the bounding box loss function to improve regression accuracy. In this experiment, YOLOv8-RSG demonstrates an average precision improvement of 5.5% and 6.0% in mAP0.5 and mAP0.5:0.95, respectively, compared to YOLOv8-base. The proposed YOLOv8-RSG model effectively achieves small target detection, providing theoretical and technical support for visual research in remote sensing scenarios.

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

Citation Download Citation

Shaoming Wang, Dongbi Zhu, Wei Zhang, and Jialin Xie "Research on remote sensing small object detection algorithm based on improved YOLOv8", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131670G (21 June 2024); https://doi.org/10.1117/12.3029814

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
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Detection and tracking algorithms

Object detection

Remote sensing

Target detection

Education and training

Small targets

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years