Generalization of GLRT-Based Magnetic Anomaly Detection

Pascal Pepe 1, 2, 3, 4 Steeve Zozor 1 Laure-Line Rouve 3 Jean-Louis Coulomb 3 Christine Serviere 2 Jean Muley 4
1 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
2 GIPSA-SAIGA - SAIGA
GIPSA-DA - Département Automatique, GIPSA-DIS - Département Images et Signal
Abstract : Magnetic anomaly detection (MAD) refers to a passive method used to reveal hidden magnetic masses and is most commonly based on a dipolar target model. This paper proposes a generalization of the MAD through a multipolar model that provides a more precise description of the anomaly and serves a twofold objective: to improve the detection performance , and to widen the variety of detectable targets. The dipole detection strategy – namely an orthonormal decomposition of the anomaly followed by a generalized likelihood ratio test – is hence revisited in the multipolar case. The performance are assessed analytically and the relevance of this generalization is demonstrated on multipolar scenarios.
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Communication dans un congrès
23rd European Signal Processing Conference (EUSIPCO-2015), Aug 2015, Nice, France. 2015, 2015 European Signal Processing Conference (EUSIPCO 2015)
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Pascal Pepe, Steeve Zozor, Laure-Line Rouve, Jean-Louis Coulomb, Christine Serviere, et al.. Generalization of GLRT-Based Magnetic Anomaly Detection. 23rd European Signal Processing Conference (EUSIPCO-2015), Aug 2015, Nice, France. 2015, 2015 European Signal Processing Conference (EUSIPCO 2015). 〈hal-01200898〉

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