Infrared land mine detection by parametric modeling

Author

Lundberg, Magnus

Author_Institution

Dept. of Signals & Syst., Chalmers Univ. of Technol., Sweden

Volume

5

fYear

2001

fDate

2001

Firstpage

3157

Abstract

A parametric model for the infrared signature caused by a buried land mine is presented. Further, a detector is calculated for the case where the background noise can be described by an autoregressive process. The detector separately estimates the parameters of the mine and the noise in an alternating fashion. The estimates are then used in the likelihood ratio test. Simulations show that significant gains in performance can be achieved as compared to the standard detector used, which correlates the infrared image with the known mine shape and thresholds the square of the output

Keywords

autoregressive processes; buried object detection; filtering theory; infrared imaging; matched filters; parameter estimation; white noise; autoregressive process; background noise; buried land mine; infrared image correlation; infrared land mine detection; infrared signature; likelihood ratio test; mine shape; mine signatures; parametric modeling; same. squared matched; signature model; simulations; spatially colored noise; white noise; Autoregressive processes; Background noise; Infrared detectors; Infrared imaging; Landmine detection; Noise shaping; Parameter estimation; Parametric statistics; Performance gain; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940328

Filename

940328