Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas

doi:10.3390/rs14092088

CIOMP OpenIR

	Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas
	S. J. Zhu; J. H. Liu; Y. Tian; Y. J. Zuo and C. L. Liu
	2022
发表期刊	Remote Sensing
卷号	14 期号:9 页码:22
摘要	Vehicle detection on aerial remote sensing images under the complex background of urban areas has always received great attention in the field of remote sensing; however, the view of remote sensing images usually covers a large area, and the size of the vehicle is small and the background is complex. Therefore, compared with object detection in the ground view images, vehicle detection in aerial images remains a challenging problem. In this paper, we propose a single-scale rapid convolutional neural network (SSRD-Net). In the proposed framework, we design a global relational (GR) block to enhance the fusion of local and global features; moreover, we adjust the image segmentation method to unify the vehicle size in the input image, thus simplifying the model structure and improving the detection speed. We further introduce an aerial remote sensing image dataset with rotating bounding boxes (RO-ARS), which has complex backgrounds such as snow, clouds, and fog scenes. We also design a data augmentation method to get more images with clouds and fog. Finally, we evaluate the performance of the proposed model on several datasets, and the experimental results show that the recall and precision are improved compared with existing methods.
DOI	10.3390/rs14092088
URL	查看原文
收录类别	sci ; ei
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/181722/67017
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	S. J. Zhu,J. H. Liu,Y. Tian,et al. Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas[J]. Remote Sensing,2022,14(9):22.
APA	S. J. Zhu,J. H. Liu,Y. Tian,&Y. J. Zuo and C. L. Liu.(2022).Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas.Remote Sensing,14(9),22.
MLA	S. J. Zhu,et al."Rapid Vehicle Detection in Aerial Images under the Complex Background of Dense Urban Areas".Remote Sensing 14.9(2022):22.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Rapid Vehicle Detect（8517KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载