摘要
微弱目标检测是安全检测中的一项基础性技术,在海面监测、空中微弱目标检测、网络威胁发现等应用场景具有重要实用价值。由于大尺度场景下存在信噪比低、背景变化大等问题,导致微弱目标检测易出现虚警、漏检等问题,微弱目标检测一直是目标检测领域的研究难点和热点。根据检测图像使用的方法不同,微弱目标检测方法分为单帧型和多帧型两大类,单帧型方法的检测速度快,但在复杂场景下表现不佳,而多帧型方法提高了准确性但需要更多资源。未来,在深度学习和人工智能技术的推动下,微弱目标检测不仅将聚焦于提高检测的准确性和效率,还将探索更加复杂的应用场景,如在动态和多变环境中的实时检测,具有广阔的应用前景。
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 produce 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 artificial 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 application prospects.
作者
郭沛东
张倩
王娟
GUO Peidong;ZHANG Qian;WANG Juan(School of Cybersecurity(Xin Gu Industrial College),Chengdu University of Information Technology,Chengdu 610225,China;National Engineering Research Center for Advanced Microprocessor Technology Industrial Control andSecurity,Chengdu 610225,China)
关键词
微弱目标检测
单帧型方法
多帧型方法
weak target detection
single frame methods
multi-frame methods
