A Radial Basis Function Neural Network Approach to Two-Color Infrared Missile Detection

Chan, Kin-Weng

ISBN 10: 1249598656 / ISBN 13: 9781249598657

Published by BiblioScholar, 2012

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Seller Inventory # ERICA79612495986566

Bibliographic Details

• Title: A Radial Basis Function Neural Network Approach to Two-Color Infrared Missile Detection
• Publisher: BiblioScholar
• Publication Date: 2012
• Language: English
• ISBN 10: 1249598656
• ISBN 13: 9781249598657
• Binding: Paperback
• Condition: Like New
• Book Type: book

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Synopsis

Multi-color infrared imaging missile-warning systems require real-time detection techniques that can process the wide instantaneous field of regard of focal plane array sensors with a low false alarm rate. Current technology applies classical statistical methods to this problem and ignores neural network techniques. Thus the research reported here is novel in that it investigates the use of radial basis function (RBF) neural networks to detect sub-pixel missile signatures. An RBF neural network is designed and trained to detect targets in two-color infrared imagery using a recently developed regression tree algorithm. Features are calculated for 3 by 3 pixel sub-images in each color band and concatenated into a vector as input to the network.