Single-Frame Infrared Small-Target Detection: A survey

Mingjing Zhao, Wei Li*, Lu Li, Jin Hu, Pengge Ma, Ran Tao

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

127 引用 (Scopus)

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.

源语言英语
页(从-至)87-119
页数33
期刊IEEE Geoscience and Remote Sensing Magazine
10
2
DOI
出版状态已出版 - 1 6月 2022

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