DP–MHT–TBD: A Dynamic Programming and Multiple Hypothesis Testing-Based Infrared Dim Point Target Detection Algorithm

DP–MHT–TBD: A Dynamic Programming and Multiple Hypothesis Testing-Based Infrared Dim Point Target Detection Algorithm

The detection and tracking of small targets under low signal-to-clutter ratio (SCR) has been a challenging task for infrared search and track (IRST) systems. Track-before-detect (TBD) is a widely-known algorithm which can solve this problem. However, huge computation costs and storage requirements l...

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Bibliographic Details
Main Authors: Jinming Du, Huanzhang Lu, Luping Zhang, Moufa Hu, Yingjie Deng, Xinglin Shen, Dongyang Li, Yu Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
dim small target detection
dynamic programming
second power optimal merit function
two-stage multiple hypothesis testing
infrared image
Online Access:https://www.mdpi.com/2072-4292/14/20/5072

Internet

https://www.mdpi.com/2072-4292/14/20/5072

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