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

Por: Jing, Zhongliang [author.]Colaborador(es): Pan, Han [author.] | Li, Yuankai [author.] | Dong, Peng [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Information Fusion and Data ScienceEditor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XIX, 340 p. 142 illus., 80 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319907161Tema(s): Optical data processing | Signal processing | Image processing | Speech processing systems | Remote sensing | Aerospace engineering | Astronautics | Control engineering | Image Processing and Computer Vision | Signal, Image and Speech Processing | Remote Sensing/Photogrammetry | Aerospace Technology and Astronautics | Control and Systems TheoryFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.6 | 006.37 Clasificación LoC:TA1630-1650Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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Acceso multiusuario

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.

UABC ; Temporal ; 01/01/2021-12/31/2023.

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