DocumentCode
3185948
Title
A new method for point-target detection in infrared imagery
Author
Shu-Long, Ji ; Liang-Zhu, Zhou ; Zhong-Kang, Sun ; Yue-Bo, Chen
Author_Institution
Dept. of Electron. Tech., ChangSha Inst. of Technol., Hunan, China
fYear
1992
fDate
18-22 May 1992
Firstpage
250
Abstract
The authors present an algorithm for point-target detection in infrared imagery based on the statistical threshold technique and continuousness of point-target motion trajectory for detecting a point-target from a sequence of images. The algorithm has been successfully tested on computer simulation images that include single or several point-targets with different SNR characteristics
Keywords
digital simulation; image recognition; infrared imaging; statistical analysis; SNR characteristics; computer simulation images; image recognition; infrared imagery; motion trajectory; point-target detection; sequence of images; statistical threshold; Background noise; Gaussian distribution; Gaussian noise; Infrared detectors; Infrared imaging; Pixel; Resists; Sun; Testing; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0652-X
Type
conf
DOI
10.1109/NAECON.1992.220613
Filename
220613
Link To Document