Zhongliang Jing,
Han Pan,
Yuankai Li,
Peng Dong
e.a.
Springer International Publishing
e druk, 2019
9783030080815
Non-Cooperative Target Tracking, Fusion and Control
Algorithms and Advances
Specificaties
Paperback, blz.
|
Engels
Springer International Publishing |
e druk, 2019
ISBN13: 9783030080815
Rubricering
Onderdeel van serie
Information Fusion and Data Science
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783030080815
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing
Inhoudsopgave
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.