Non-Cooperative Target Tracking, Fusion and Control Algorithms and Advances /

• Main Authors: Jing, Zhongliang (Author, http://id.loc.gov/vocabulary/relators/aut), Pan, Han (http://id.loc.gov/vocabulary/relators/aut), Li, Yuankai (http://id.loc.gov/vocabulary/relators/aut), Dong, Peng (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Information Fusion and Data Science,
• Subjects: Optical data processing.; Signal processing.; Image processing.; Speech processing systems.; Remote sensing.; Aerospace engineering.; Astronautics.; Control engineering.; Image Processing and Computer Vision.; Signal, Image and Speech Processing.; Remote Sensing/Photogrammetry.; Aerospace Technology and Astronautics.; Control and Systems Theory.
• Physical Description: XIX, 340 p. 142 illus., 80 illus. in color. online resource.
• ISBN: 9783319907161
• ISSN: 2510-1528
• DOI: 10.1007/978-3-319-90716-1

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.