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

By: Zhongliang Jing and Han Pan and Yuankai Li and Peng Dong

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783319907161
Related ISBNs:: 9783319907154
Publisher:: Springer International Publishing
Date of Addition:: 07/26/18
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Art and Architecture, Computers and Internet, Technology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.