9783319907154-3319907158-Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances (Information Fusion and Data Science)

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

ISBN-13: 9783319907154
ISBN-10: 3319907158
Edition: 1st ed. 2018
Author: Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong
Publication date: 2018
Publisher: Springer
Format: Hardcover 359 pages
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Book details

ISBN-13: 9783319907154
ISBN-10: 3319907158
Edition: 1st ed. 2018
Author: Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong
Publication date: 2018
Publisher: Springer
Format: Hardcover 359 pages

Summary

Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances (Information Fusion and Data Science) (ISBN-13: 9783319907154 and ISBN-10: 3319907158), written by authors Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong, was published by Springer in 2018. With an overall rating of 3.5 stars, it's a notable title among other AI & Machine Learning (Graphics & Design, Software Design, Testing & Engineering, Programming, Voice Recognition, Software, Aeronautics & Astronautics, Astronomy & Space Science, Computer Science) books. You can easily purchase or rent Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances (Information Fusion and Data Science) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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.

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