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Non-cooperative target tracking, fus...

Jing, Zhongliang.

Non-cooperative target tracking, fusion and controlalgorithms and advances /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Non-cooperative target tracking, fusion and controlby 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$q(electronic bk.)

Non-cooperative target tracking, fusion and controlalgorithms and advances /
Non-cooperative target tracking, fusion and controlalgorithms 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$q(electronic bk.)

Standard No.: 10.1007/978-3-319-90716-1doiSubjects--Topical Terms:

250166
Automatic tracking.

LC Class. No.: TK6592.A9

Dewey Class. No.: 623.043

Non-cooperative target tracking, fusion and controlalgorithms and advances /
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505 0 $a 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.
520 $a 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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650 2 4 $a Signal, Image and Speech Processing. $3 273768
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650 2 4 $a Aerospace Technology and Astronautics. $3 309707
650 2 4 $a Control. $3 349080
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