Research on Detection and Recognition Technology of a Visible and Infrared Dim and Small Target Based on Deep Learning

doi:10.3390/electronics12071732

CIOMP OpenIR

	Research on Detection and Recognition Technology of a Visible and Infrared Dim and Small Target Based on Deep Learning
	Y. X. Dong; Y. Li and Z. Li
	2023
发表期刊	Electronics
卷号	12 期号:7 页码:13
摘要	With the increasing trend towards informatization and intelligence in modern warfare, high-intensity and continuous reconnaissance activities are becoming increasingly common in battlefield environments via airborne, vehicle, UAV, satellite and other platforms. Visible and infrared images are preferred due to their high resolution, strong contrast, rich texture details and color features, and strong information expression ability. However, the quality of imaging is easily affected by environmental factors, making it crucial to quickly and accurately filter useful information from massive image data. To this end, super-resolution image preprocessing can improve the detection performance of UAV, and reduce false detection and missed detection of targets. Additionally, super-resolution reconstruction results in high-quality images that can be used to expand UAV datasets and enhance the UAV characteristics, thereby enabling the enhancement of small targets. In response to the challenge of "low-slow small" UAV targets at long distances, we propose a multi-scale fusion super-resolution reconstruction (MFSRCNN) algorithm based on the fast super-resolution reconstruction (FSRCNN) algorithm and multi-scale fusion. Our experiments confirm the feasibility of the algorithm in reconstructing detailed information of the UAV target. On average, the MFSRCNN reconstruction time is 0.028 s, with the average confidence before and after reconstruction being 80.73% and 86.59%, respectively, resulting in an average increase of 6.72%.
DOI	10.3390/electronics12071732
URL	查看原文
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/181722/67443
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	Y. X. Dong,Y. Li and Z. Li. Research on Detection and Recognition Technology of a Visible and Infrared Dim and Small Target Based on Deep Learning[J]. Electronics,2023,12(7):13.
APA	Y. X. Dong,&Y. Li and Z. Li.(2023).Research on Detection and Recognition Technology of a Visible and Infrared Dim and Small Target Based on Deep Learning.Electronics,12(7),13.
MLA	Y. X. Dong,et al."Research on Detection and Recognition Technology of a Visible and Infrared Dim and Small Target Based on Deep Learning".Electronics 12.7(2023):13.

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
Research on Detectio（5352KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载