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Non-cooperative target tracking, fus...
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SpringerLink (Online service)
Non-cooperative target tracking, fusion and control = algorithms and advances /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Non-cooperative target tracking, fusion and control/ by Zhongliang Jing ... [et al.].
Reminder of title:
algorithms and advances /
other author:
Jing, Zhongliang.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
xix, 340 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Automatic tracking. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-90716-1
ISBN:
9783319907161
Non-cooperative target tracking, fusion and control = algorithms and advances /
Non-cooperative target tracking, fusion and control
algorithms and advances /[electronic resource] :by Zhongliang Jing ... [et al.]. - Cham :Springer International Publishing :2018. - xix, 340 p. :ill., digital ;24 cm. - Information fusion and data science,2510-1528. - Information fusion and data science..
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 evaluation.
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.
ISBN: 9783319907161
Standard No.: 10.1007/978-3-319-90716-1doiSubjects--Topical Terms:
981730
Automatic tracking.
LC Class. No.: TK6592.A9
Dewey Class. No.: 623.043
Non-cooperative target tracking, fusion and control = algorithms and advances /
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algorithms and advances /
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by Zhongliang Jing ... [et al.].
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2018.
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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 evaluation.
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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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Computer Science (Springer-11645)
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