A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection.

A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection.

We focus on the development of signal processing algorithms that incorporate the underlying physics characteristic of the sensor and of the anticipated unexploded ordnance (UXO) target, in order to address the false alarm issue. In this paper, we describe several algorithms for discriminating target...

Descrición completa

Detalles Bibliográficos
Publicado en:IEEE Transactions on fuzzy systems 9, 1 (2001).
Autor Principal: Collins, L.M
Formato: Artigo
Idioma:English
Subjects:
Electromagnetic induction sensors.
False alarm.
Fuzzy clustering.
Fuzzy set theory.
Generalized likelihood ratio.
Magnetometer sensors.
Maximum likelihood estimation.
Multisensor towed array detection system.
Probabilistic neural network.
Signal processing.
Statistical analysis.
Unexploded ordnance detection.