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Titlebook: Non-Cooperative Target Tracking, Fusion and Control; Algorithms and Advan Zhongliang Jing,Han Pan,Peng Dong Book 2018 Springer Internationa

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發(fā)表于 2025-3-21 18:24:56 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Non-Cooperative Target Tracking, Fusion and Control
副標題Algorithms and Advan
編輯Zhongliang Jing,Han Pan,Peng Dong
視頻videohttp://file.papertrans.cn/667/666880/666880.mp4
概述Contains a wide survey of models and algorithmic aspects of non-cooperative target tracking, fusion and control.Features theoretical background for aerospace applications or remote sensing.Provides ma
叢書名稱Information Fusion and Data Science
圖書封面Titlebook: Non-Cooperative Target Tracking, Fusion and Control; Algorithms and Advan Zhongliang Jing,Han Pan,Peng Dong Book 2018 Springer Internationa
描述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..
出版日期Book 2018
關鍵詞multi-target tracking; visual target tracking; multi-target Bayesian filter; Multi-focus image fusion; o
版次1
doihttps://doi.org/10.1007/978-3-319-90716-1
isbn_softcover978-3-030-08081-5
isbn_ebook978-3-319-90716-1Series ISSN 2510-1528 Series E-ISSN 2510-1536
issn_series 2510-1528
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Introductionradar surveillance systems. Master’s thesis, University of Waterloo, 2014). Much of these objects can be traced to a few fundamental properties, such as unknown geometric appearance, uncooperative and non-communicative.
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Evaluation of Focus Measures in Multi-Focus Image Fusions definition in the spatial domain. An efficient scheme to assess focus measures according to the capability of distinguishing focused image blocks from defocused image blocks is proposed. Experiments and numerical results demonstrated that sum-modified-Laplacian can achieve better performance than other focus measures.
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Dynamic Bias Estimation with Gaussian Mean Shift Registrationle target, which is an iterative optimization method. Besides, the proposed algorithm is close to the theoretical lower bound. Simulations show that the proposed method has significant improvement and is more efficient in estimating the dynamic bias than other methods.
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Joint Detection, Tracking, and Classification Using Finite Set Statistics and Generalized Bayesian Rtion is obtained according to the generalized Bayesian risk. The Gaussian mixture implementation of the proposed recursive JDTC algorithm is developed. The parameter selection for the new Bayesian risk is discussed, too. Simulation results show that the proposed method outperforms the traditional methods.
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Constrained Image Deblurring with Sparse Proximal Newton Splitting Methods derived. Some theoretical aspects related to the proposed method are also discussed. Numerical experiments on various blurring conditions demonstrate the advantage of the proposed method in comparison to other iterative shrinkage-thresholding algorithms.
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