CFAR robust detection of moving target in presence of fluctuating background

Author

Golikov, V. ; Castillejos, A. ; Lebedeva, O. ; Ponomaryov, V. ; Cruz-Irisson, M.

Author_Institution

Autonomous Univ. of Carmen, Campeche

fYear

2008

fDate

June 29 2008-July 2 2008

Firstpage

144

Lastpage

146

Abstract

The paper describes the techniques for the autonomous detection of moving targets by processing a sequence of sensor imageries in remote sensing applications. Two detection algorithms, which do not need a matrix inversion, are developed by extension of Hotellingpsilas principal-component method showing excellent performance and robustness. The detection of small, barely discernible, moving objects in presence of correlated fluctuating background and unknown background intensity are presented and tested experimentally.

Keywords

correlation methods; geophysical signal processing; image motion analysis; image sensors; image sequences; principal component analysis; remote sensing; target tracking; CFAR robust detection; Hotelling principal-component method; constant false alarm rate; correlated fluctuating background; moving target autonomous detection; remote sensing applications; sensor image sequence processing; Clutter; Detectors; Electromagnetic modeling; Image sensors; Layout; Mathematical model; Object detection; Radar detection; Remote sensing; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Mathematical Methods in Electromagnetic Theory, 2008. MMET 2008. 12th International Conference on

Conference_Location

Odesa

Print_ISBN

978-1-4244-2284-5

Type

conf

DOI

10.1109/MMET.2008.4580918

Filename

4580918