Research on remote sensing target detection algorithm with improved YOLOv3

Hua Yan; Zijun Gao; Lei Shen

doi:10.1117/12.3026631

27 March 2024 Research on remote sensing target detection algorithm with improved YOLOv3

Hua Yan, Zijun Gao, Lei Shen

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131054O (2024) https://doi.org/10.1117/12.3026631
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

The issue of inadequate precision in identifying airplanes in remote sensing images arises from fluctuations in lighting conditions. To tackle this problem, a refined approach for detecting targets in remote sensing using the YOLOv3 algorithm is proposed in this study. Primarily, a CBAM attention module (Convolutional block attention module) is introduced to emphasize crucial regions of the input object, thereby obtaining more significant information. Secondly, the Darknet53, acting as the backbone network in YOLOv3, is substituted with ResNet152 to enhance the network's capability in extracting features. Experimental results reveal that the algorithm achieves 92.75% mAP in the DOTA dataset, addressing the issue of insufficient detection accuracy caused by lighting variations in remote sensing images to a certain extent. This outcome demonstrates the feasibility and efficacy of the algorithm.

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

Citation Download Citation

Hua Yan, Zijun Gao, and Lei Shen "Research on remote sensing target detection algorithm with improved YOLOv3", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131054O (27 March 2024); https://doi.org/10.1117/12.3026631

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KEYWORDS

Detection and tracking algorithms

Target detection

Remote sensing

Feature extraction

Object detection

Education and training

Ablation

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