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- W1988808912 abstract "Point target detection is an important issue for the application of infrared search and track (IRST) system. To detect theweak point target in infrared image, this paper introduces a new method based on two-steps gradient algorithm toeliminate the impact of complicated background and extract possible targets. Firstly, the characteristics of point target areanalyzed based on 288x4 linear infrared FPAs. Secondly, the point targets in complicated infrared background areclassified into four groups. The detection function is derived for each group, and then the comprehensive detectionfunction is derived to extract the point target. Finally, a practical experiment is completed based on a 288x4 IRST system.It is proved that the two-steps gradient algorithm can reduce the number of possible targets which is helpful to thepost-processing work." @default.
- W1988808912 created "2016-06-24" @default.
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- W1988808912 date "2011-11-23" @default.
- W1988808912 modified "2023-09-23" @default.
- W1988808912 title "Weak point target detection in the complicated infrared background" @default.
- W1988808912 doi "https://doi.org/10.1117/12.904671" @default.
- W1988808912 hasPublicationYear "2011" @default.
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