Title :
Infrared land mine detection by parametric modeling
Author :
Lundberg, Magnus
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Sweden
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940328
