TY - JOUR
T1 - Single-Frame Infrared Small-Target Detection
T2 - A survey
AU - Zhao, Mingjing
AU - Li, Wei
AU - Li, Lu
AU - Hu, Jin
AU - Ma, Pengge
AU - Tao, Ran
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85124828969&partnerID=8YFLogxK
U2 - 10.1109/MGRS.2022.3145502
DO - 10.1109/MGRS.2022.3145502
M3 - Article
AN - SCOPUS:85124828969
SN - 2473-2397
VL - 10
SP - 87
EP - 119
JO - IEEE Geoscience and Remote Sensing Magazine
JF - IEEE Geoscience and Remote Sensing Magazine
IS - 2
ER -