Multi-scale rotating target detection in high resolution remote sensing image based on improved YOLOv5

Jiapeng Li; Jiaqi Wu; Qi Liu; Zheng Zhang

doi:10.1117/12.2680965

8 June 2023 Multi-scale rotating target detection in high resolution remote sensing image based on improved YOLOv5

Jiapeng Li, Jiaqi Wu, Qi Liu, Zheng Zhang

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127072Y (2023) https://doi.org/10.1117/12.2680965
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

As the remote sensing image information rapidly becomes abundant, it is a challenge for the detection of tiny targets with dense distribution. Therefore, a multi-scale rotating object detection model based on the improved YOLOv5 is proposed in this paper. Firstly, because of adding a prediction feature layer to the network, the detection precision of tiny targets has substantially increased. Secondly, the loss between rotation anchors can be fitted at a high precision due to the compressed loss function aiming at the calculation of the IoU loss of rotation is proposed. Finally, a hybrid prior bounding box strategy is applied in the feature prediction layer to suit the targets to be detected in different sizes. Experiments conducted on the DOTA dataset indicates that this method significantly exceeded the original YOLOv5. It has extraordinary performances for the task of object detection in optical remote sensing image fields.

Citation Download Citation

Jiapeng Li, Jiaqi Wu, Qi Liu, and Zheng Zhang "Multi-scale rotating target detection in high resolution remote sensing image based on improved YOLOv5", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127072Y (8 June 2023); https://doi.org/10.1117/12.2680965

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KEYWORDS

Object detection

Target detection

Remote sensing

Small targets

Feature fusion

Detection and tracking algorithms

Image resolution

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