£134.41

Springer Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances (Information Fusion and Data Science)

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Description

This book gives a concise and comprehensive overview of non-cooperative target tracking, fusion and control. Focusing on algorithms rather than theories for non-cooperative targets including air and space-borne targets, this work explores a number of advanced techniques, including Gaussian mixture cardinalized probability hypothesis density (CPHD) filter, optimization on manifold, construction of filter banks and tight frames, structured sparse representation, and others. Containing a variety of illustrative and computational examples, Non-cooperative Target Tracking, Fusion and Control will be useful for students as well as engineers with an interest in information fusion, aerospace applications, radar data processing and remote sensing.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 July 2018
Listed Since
29 March 2018

Barcode

No barcode data available

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