A comparison of algorithms for subsurface target detection and identification using time-domain electromagnetic induction data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 39, Issue 6, 2001, Pages 1299-1306

  Tantum, Stacy L ^a,b   Collins, Leslie M ^a,b  

^a IEEE   (United States)

^b Duke University   (United States)

Author keywords

Bayes procedures; Electromagnetic induction (EMI); Object detection; Parameter estimation; Pattern classification

Indexed keywords

BAYES PROCEDURES; ELECTROMAGNETIC INDUCTION (EMI) SENSORS; TARGET IDENTIFICATION;

ALGORITHMS; COMPUTER SIMULATION; ELECTROMAGNETIC FIELD EFFECTS; ERROR DETECTION; OBJECT RECOGNITION; PARAMETER ESTIMATION; SIGNAL PROCESSING;

MULTISPECTRAL SCANNERS;

EID: 0035364953     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.927453     Document Type: Article

References (14)

1. Classification of landmine-like metal targets using wideband electromagnetic induction
2. Object identification using multifrequency EMI data
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4. Detection and identification of mines from natural magnetic and electromagnetic resonances
5. Characterization of small metallic objects and nonmetallic anti-personnel mines
6. A theoretical performance analysis and simulation of time-domain EMI sensor data for land mine detection
7. The Cramér-Rao lower bound for pole and amplitude coefficient estimates of damped exponential signals in noise
8. Physics-based statistical signal processing for improved landmine detection and classification via decay rate estimation
9. Operating characteristics of the AN-PSS12