Performance analysis of dim moving point target detection algorithms

Author

Askar, H. ; Li, Xiaofeng ; Li, Zaiming

Author_Institution

Coll. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

2

fYear

2002

fDate

29 June-1 July 2002

Firstpage

977

Abstract

This paper studies the performance comparison of track-before-detect (TBD) and detect-before-track (DBT) multi-frame detection algorithms for the detection of weak moving point targets in infrared image sequences data collected from a scanning sensor. Results indicate that the performance of TBD is superior to that of DBT in all respects for low SNR. However, while computationally simple, DBT can have a reasonable performance only for high SNR. Simulations verify the results of the analysis and the conclusions drawn.

Keywords

image sequences; infrared imaging; optical tracking; signal detection; statistical analysis; target tracking; SNR; detect-before-track algorithms; dim moving point targets; infrared image sequence; multi-frame detection algorithms; performance analysis; scanning sensor; target detection; track-before-detect algorithms; Analytical models; Computational modeling; Detection algorithms; High performance computing; Image sequences; Infrared detectors; Infrared image sensors; Object detection; Performance analysis; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on

Print_ISBN

0-7803-7547-5

Type

conf

DOI

10.1109/ICCCAS.2002.1178951

Filename

1178951