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LEADER 00000cam  2200673Ii 4500 
001    1043395303 
003    OCoLC 
005    20190118062302.8 
006    m     o  d         
007    cr |n||||||||| 
008    180706s2018    sz      o     000 0 eng d 
019    1043591319|a1043673139|a1047671509|a1050977569|a1055393665
       |a1059245673 
020    9783319907161|q(electronic bk.) 
020    3319907166|q(electronic bk.) 
020    |z9783319907154 
020    |z3319907158 
024 7  10.1007/978-3-319-90716-1|2doi 
024 3  9783319907154 
035    (OCoLC)1043395303|z(OCoLC)1043591319|z(OCoLC)1043673139
       |z(OCoLC)1047671509|z(OCoLC)1050977569|z(OCoLC)1055393665
       |z(OCoLC)1059245673 
037    9783319907154|b00024965 
040    YDX|beng|epn|erda|cYDX|dN$T|dGW5XE|dEBLCP|dUPM|dOCLCF|dVT2
       |dOCLCQ|dCNCEN|dWYU 
049    MAIN 
050  4 TK6592.A9 
072  7 UYT|2bicssc 
072  7 UYQV|2bicssc 
072  7 TEC|x025000|2bisacsh 
082 04 623/.043|223 
100 1  Jing, Zhongliang,|0http://id.loc.gov/authorities/names/
       n2013006086|eauthor. 
245 10 Non-Cooperative Target Tracking, Fusion and Control :
       |balgorithms and advances /|cZhongliang Jing, Han Pan, 
       Yuankai Li, Peng Dong. 
264  1 [Place of publication not identified] :|bSpringer,|c2018. 
300    1 online resource. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|2rdaft|0http://rdaregistry.info/termList/
       fileType/1002 
490 1  Information fusion and data science. 
505 0  Background and fundamentals -- Target tracking and fusion 
       -- Visual tracking and fusion -- Spacecraft control for 
       tracking. 
520    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. 
650  0 Automatic tracking.|0http://id.loc.gov/authorities/
       subjects/sh85010114 
650 24 Control. 
653    control of spacecraft maneuvers. 
653    multi-target Bayesian filter. 
653    multi-target tracking. 
653    oversampled filter banks. 
653    probabilistic visual tracking. 
653    pulse coupled neural network. 
653    visual target tracking. 
655  4 Electronic books. 
700 1  Pan, Han,|eauthor. 
700 1  Li, Yuankai,|eauthor. 
700 1  Dong, Peng,|eauthor. 
776 08 |iPrint version:|z3319907158|z9783319907154
       |w(OCoLC)1030591912. 
830  0 Information fusion and data science. 
990    SpringerLink|bSpringer English/International eBooks 2018 -
       Full Set|c2019-01-18|yMaster record 040 $e RDA change - 
       Master record variable field(s) change: 505|5OH1 
990    SpringerLink|bSpringer English/International eBooks 2018 -
       Full Set|c2018-12-28|yAdded to collection 
       springerlink.ebooks2018|5OH1 
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