An Efficient Detection Approach for Unmanned Aerial Vehicle (UAV) Small Targets Based on Group Convolution

doi:10.3390/app12115402

CIOMP OpenIR

	An Efficient Detection Approach for Unmanned Aerial Vehicle (UAV) Small Targets Based on Group Convolution
	J. H. Cheng; Y. Y. Liu; G. I. Li; J. Li; J. T. Peng and J. T. Hong
	2022
发表期刊	Applied Sciences-Basel
卷号	12 期号:11 页码:12
摘要	To solve the problem that small drones in the sky are easily confused with background objects and difficult to detect, according to the characteristics of irregular movement, small size, and changeable shape of drones, using a regional target recognition algorithm, the structure characteristics of Group Convolution (GC) in Resnext50 are absorbed. The optimized GC-faster-RCNN is obtained by improving the Fast-RCNN algorithm and the following methods are performed. First, a clustering method is used to analyze the dataset, and appropriate prior bounding box types are obtained. Second, the Resnext50 is used to replace the original feature extraction network, and the improved channel attention mechanism is integrated into its network output to enhance its feature map information. Then, we calculate its effective receptive field according to the Feature Pyramid Network (FPN) structure and redesign the prior bounding box of the corresponding size to construct a multi-scale detection network for small targets. Experiments show that the algorithm has a recognition accuracy of up to 94.8% under 1080 P image quality, and a recognition speed of 8FPS, which can effectively detect the positions of 1-5 small UAVs in a picture. This method provides an effective positioning detection for low-altitude UAVs.
DOI	10.3390/app12115402
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收录类别	sci
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/66601
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	J. H. Cheng,Y. Y. Liu,G. I. Li,et al. An Efficient Detection Approach for Unmanned Aerial Vehicle (UAV) Small Targets Based on Group Convolution[J]. Applied Sciences-Basel,2022,12(11):12.
APA	J. H. Cheng,Y. Y. Liu,G. I. Li,J. Li,&J. T. Peng and J. T. Hong.(2022).An Efficient Detection Approach for Unmanned Aerial Vehicle (UAV) Small Targets Based on Group Convolution.Applied Sciences-Basel,12(11),12.
MLA	J. H. Cheng,et al."An Efficient Detection Approach for Unmanned Aerial Vehicle (UAV) Small Targets Based on Group Convolution".Applied Sciences-Basel 12.11(2022):12.

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