Robust Autonomous Detection of the Faulty Sensors of a Sensor Array

Ghosh, Siddhartha and Marshall, I.W. and Freitas, A.A. (2007) Robust Autonomous Detection of the Faulty Sensors of a Sensor Array. In: Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on. IEEE Signal Processing Society pp. 233-236. ISBN 978-1-4244-1713-1 . (Full text available)

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http://dx.doi.org/10.1109/CAMSAP.2007.4498008

Abstract

We propose a technique for the autonomous detection of the faulty sensors of a sensor array that are aberrant relative to the rest. Our approach is based on probabilistically modeling the distribution of the differences between the sensor measurements as a mixture of gaussians and then classifying further instances of the sensor differences using a naive bayes classifier. We demonstrate the applicability of this technique to the diagnosis of the sensors/photosites of a CCD array, using sensor array data comprising of randomly selected images. Our technique performs well for different combinations of parameter settings at the detection of the faulty photosites of a CCD array.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Faculties > Science Technology and Medical Studies > School of Computing > Systems Architecture Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:04
Last Modified: 08 Jun 2012 13:44
Resource URI: http://kar.kent.ac.uk/id/eprint/14523 (The current URI for this page, for reference purposes)
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