Open AccessMoving dim target detection via density‐based cluster in infrared image sequences
Author(s) -
Li Zhaohui,
Liu Delian,
Wang Xiaorui
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2015.1472
Subject(s) - robustness (evolution) , infrared , artificial intelligence , computer vision , cluster (spacecraft) , computer science , image (mathematics) , pattern recognition (psychology) , physics , optics , biology , biochemistry , gene , programming language
A new approach for detecting moving dim targets in infrared image sequences is proposed. The approach adopts an innovative density‐based cluster to eliminate the interferences of heavy and slowly evolving clutters and extract pulse signals on temporal profiles that are generated by moving targets. Two infrared senses are processed by this approach and other conventional approaches. The results show the approach has high robustness to heavy and slowly evolving clutters.