title: Analysis of infrared signature variation and robust filter-based supersonic target detection.
abstract: The difficulty of small infrared target detection originates from the variations of infrared signatures. This paper presents the fundamental physics of infrared target variations and reports the results of variation analysis of infrared images acquired using a long wave infrared camera over a 24-hour period for different types of backgrounds. The detection parameters, such as signal-to-clutter ratio were compared according to the recording time, temperature and humidity. Through variation analysis, robust target detection methodologies are derived by controlling thresholds and designing a temporal contrast filter to achieve high detection rate and low false alarm rate. Experimental results validate the robustness of the proposed scheme by applying it to the synthetic and real infrared sequences.
authors.affiliation: Yeungnam University, Gyeongsan-si, Gyeongsangbuk-do 712-749, Republic of Korea.
authors.forename: Sungho
authors.identifier: 0000-0002-5401-2459
authors.initials: S
authors.lastname: Kim
authors.affiliation: Agency for Defense Development, 111 Sunam-dong, Daejeon 305-152, Republic of Korea.
authors.forename: Sun-Gu
authors.initials: SG
authors.lastname: Sun
authors.affiliation: Electromagnetic Technology Laboratory, POSTECH, Pohang 790-784, Republic of Korea.
authors.forename: Kyung-Tae
authors.initials: KT
authors.lastname: Kim
mesh_terms: D007259:Infrared Rays; D012815:Signal Processing, Computer-Assisted