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Non-Cooperative Target Tracking, Fusion and Control : Algorithms and Advances / by Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Information Fusion and Data Science | SpringerLink BücherPublisher: Cham : Springer, 2018Description: Online-Ressource (XIX, 340 p. 142 illus., 80 illus. in color, online resource)ISBN:
  • 9783319907161
Subject(s): Additional physical formats: 9783319907154 | Erscheint auch als: 978-3-319-90715-4 Druck-Ausgabe | Erscheint auch als Druck-Ausgabe: DDC classification:
  • 006.37 006.6
  • 006.6
  • 006.37
LOC classification:
  • TA1637-1638 TA1634
  • TA1634
  • TA1637-1638
DOI: DOI: 10.1007/978-3-319-90716-1Online resources: Summary: 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 sensingSummary: Introduction -- Part I Multi-Target Tracking -- Gaussian mixture CPHD filter with gating technique -- Detection-guided multi-target Bayesian filter -- On the sensor order in sequential integrated probability data association filter -- New method for dynamic bias estimation: Gaussian mean shift registration -- Part II Visual Target Tracking -- Learning-based appearance model for probabilistic visual tracking -- Incremental visual tracking with L1 norm approximation and Grassmann update -- A dual-kernel-based tracking approach for visual target -- Kernel joint visual tracking and recognition based on structured sparse representation -- Part III Image Fusion and Deblurring -- A simple method to build oversampled filter banks and tight frames -- Multi-focus image fusion using pulse coupled neural network -- Evaluation of focus measures in multi-focus image fusion -- Multi-modality image fusion via generalized Riesz-wavelet transformation -- A sparse proximal Newton splitting method for constrained image deblurring -- Part IV Control of Spacecraft Maneuvers -- Maneuver-aided active satellite tracking using six-DOF optimal dynamic inversion control -- Dynamic optimal sliding-mode control for six-DOF follow-up robust tracking of active satellite -- Redundant adaptive robust tracking of active satellite and error evaluationPPN: PPN: 1026849101Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS
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