Weak target detection is a fundamental technology in security detection,which has important practical value in application scenarios such as sea surface monitoring,airborne weak target detection,and network threat detection.Due to the problems of low signal-to-noise ratio and large background changes in large-scale scenes,weak object detection is prone to pro-duce false alarms and missed detections.Weak object detection has long been the research difficulty and hotspot in the field of object detection.According to the different methods used for detecting images,weak object detection methods can be divided into two categories:single frame and multi-frame.Single frame methods have fast detection speed but perform poorly in complex scenes,while multi-frame methods improve accuracy but require more resources.In the future,driven by deep learning and arti-ficial intelligence technology,weak target detection will not only focus on improving detection accuracy and efficiency,but also explore more complex application scenarios,such as real-time detection in dynamic and changing environments,with broad appli-cation prospects.
万方数据
维普
