Single-Frame Infrared Small-Target Detection: A survey

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

108 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)87-119
Number of pages33
JournalIEEE Geoscience and Remote Sensing Magazine
Volume10
Issue number2
DOIs
Publication statusPublished - 1 Jun 2022

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