A CF-based algorithm for moving dot target detection in FLIR image sequence

Author

Lu, Huanzhang ; Chen, Hui Fang

Author_Institution

Changsha Inst. of Technol., Hunan, China

fYear

1994

fDate

23-27 May 1994

Firstpage

354

Abstract

Dot target detection in FLIR image sequences with very low SNR has been used in guidance and surveillance systems and many algorithms have been developed to solve this problem. In this paper, a certain factor (CF) based algorithm was proposed, It is composed of two components: a predetector and a trace matcher. The predetector implements a N- P test on each pixel in the images. The trace matcher matches the detected dots in image with traces. Two certain factors were introduced to traces. Performance analysis was presented. It is shown that this algorithm has not only high detection probability but also low false alarm rate (if SNR=3, then PD=0.97, PF=10^-8). Monte-Carlo experiments have bean conducted and the result is concordant with the theoretical analysis

Keywords

Monte Carlo methods; digital simulation; image recognition; image sequences; infrared imaging; probability; signal detection; white noise; CF-based algorithm; FLIR image sequence; Monte-Carlo experiments; SNR; certain factor algorithm; detection probability; false alarm rate; guidance; moving dot target detection; performance analysis; predetector; surveillance; trace matcher; Adaptive filters; Detection algorithms; Image sequences; Object detection; Paper technology; Performance analysis; Signal to noise ratio; Trajectory; US Department of Transportation; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-1893-5

Type

conf

DOI

10.1109/NAECON.1994.332985

Filename

332985