红外线的
帧(网络)
计算机科学
雷达
跟踪(教育)
计算机视觉
帧速率
钥匙(锁)
运动检测
人工智能
遥感
运动(物理)
光学
电信
物理
地理
计算机安全
心理学
教育学
作者
Mingjing Zhao,Wei Li,Lu Li,Jin Hu,Pengge Ma,Ran Tao
出处
期刊:IEEE Geoscience and Remote Sensing Magazine
[Institute of Electrical and Electronics Engineers]
日期:2022-02-16
卷期号:10 (2): 87-119
被引量:110
标识
DOI:10.1109/mgrs.2022.3145502
摘要
Compared with radar and visible light imaging, infrared imaging has its own unique advantages, and in recent years, it has become a topic of intense research interest. Robust small-target detection is one of the key techniques in infrared search and tracking (IRST) applications, and there is no doubt that it has become an investigatory hot spot. In real applications, targets and backgrounds usually change quickly with very high velocities. In addition, a rapidly moving sensor platform typically makes the motion traces of the targets inconsistent. These factors reduce the detection performance of spatiotemporal-based methods, and thus single-frame infrared small-target detection is even more essential. In this survey, existing single-frame infrared small-target detection methods are comprehensively reviewed.
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