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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, Han Pan, Yuankai Li, Peng Dong.
Reminder of title:	Algorithms and Advances /
Author:	Jing, Zhongliang.
other author:	Pan, Han.
Description:	XIX, 340 p. 142 illus., 80 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Remote Sensing/Photogrammetry. -
Online resource:	https://doi.org/10.1007/978-3-319-90716-1
ISBN:	9783319907161

Non-Cooperative Target Tracking, Fusion and Control = Algorithms and Advances /
Jing, Zhongliang.

Non-Cooperative Target Tracking, Fusion and ControlAlgorithms and Advances /[electronic resource] :by Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong. - 1st ed. 2018. - XIX, 340 p. 142 illus., 80 illus. in color.online resource. - 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:

670396
Remote Sensing/Photogrammetry.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Non-Cooperative Target Tracking, Fusion and Control = Algorithms 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.
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