Adaptive coherence estimator (ACE) for explosive hazard detection using wideband electromagnetic induction (WEMI)

April 11, 2016 in Conference Papers

Abstract:

The adaptive coherence estimator (ACE) estimates the squared cosine of the angle between a known target vector and a sample vector in a whitened coordinate space. The space is whitened according to an estimation of the background statistics, which directly effects the performance of the statistic as a target detector. In this paper, the ACE detection statistic is used to detect buried explosive hazards with data from a Wideband Electromagnetic Induction (WEMI) sensor. Target signatures are based on a dictionary defined using a Discrete Spectrum of Relaxation Frequencies (DSRF) model. Results are summarized as a receiver operator curve (ROC) and compared to other leading methods.

Links:

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Citation:

B. Alvey, A. Zare, M. Cook, and D. Ho, “Adaptive coherence estimator (ACE) for explosive hazard detection using wideband electromagnetic induction (WEMI),” in Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 2016.
@InProceedings{alvey2016adaptive,
author = {Brendan Alvey and Alina Zare and Matthew Cook and Dominic Ho},
title = {Adaptive coherence estimator (ACE) for explosive hazard detection using wideband electromagnetic induction (WEMI)},
booktitle = {Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI},
year = {2016},
volume = {9823},
number = {982309},
month = {Apr.},
doi = {10.1117/12.2223347},
}