Title :
An improved Bayesian decision theoretic approach for land mine detection
Author :
Collins, Leslie ; Gao, Ping ; Carin, Lawrence
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
fDate :
3/1/1999 12:00:00 AM
Abstract :
A rigorous signal detection theoretic analysis is used to improve detectability of land mines. The development is performed for sensors that integrate time-domain information to provide a single data point (standard metal detector), those that provide a sampled portion of the time-domain waveform, and those that operate at several discrete frequencies. This approach is compared to standard thresholding techniques, and it is shown to provide substantial improvements when evaluated on measured data
Keywords :
Bayes methods; buried object detection; military systems; terrain mapping; Bayes method; Bayesian decision theoretic approach; EM method; buried object detection; detectability; electromagnetic induction; land mine detection; metal detector; military system; sampled portion; several discrete frequencies; signal detection theory; time-domain information; time-domain waveform; Bayesian methods; Detectors; Electromagnetic induction; Electromagnetic interference; Frequency; Landmine detection; Measurement standards; Physics; Signal detection; Time domain analysis;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
