Non-Cooperative Target Tracking, Fusion and Control Algorithms and Advances
tarafından
 
Jing, Zhongliang. author.

Başlık
Non-Cooperative Target Tracking, Fusion and Control Algorithms and Advances

Yazar
Jing, Zhongliang. author.

ISBN
9783319907161

Yazar
Jing, Zhongliang. author.

Edisyon
1st ed. 2018.

Fiziksel Niteleme
XIX, 340 p. 142 illus., 80 illus. in color. online resource.

Seri
Information Fusion and Data Science,

İçindekiler
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.

Özet
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.

Konu Başlığı
Computer vision.
 
Astronautics.
 
Image Processing and Computer Vision. http://scigraph.springernature.com/things/product-market-codes/I22021
 
Signal, Image and Speech Processing. http://scigraph.springernature.com/things/product-market-codes/T24051
 
Remote Sensing/Photogrammetry. http://scigraph.springernature.com/things/product-market-codes/J13010
 
Aerospace Technology and Astronautics. http://scigraph.springernature.com/things/product-market-codes/T17050
 
Control and Systems Theory. http://scigraph.springernature.com/things/product-market-codes/T19010

Yazar Ek Girişi
Pan, Han.
 
Li, Yuankai.
 
Dong, Peng.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-319-90716-1


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book221789-1001TA1637 -1638Springer E-Book Collection