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About this book

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.

Table of Contents

Frontmatter

Background and Fundamentals

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 1. Introduction

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 2. Nonlinear Filter

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

Target Tracking and Fusion

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 3. Dynamic Bias Estimation with Gaussian Mean Shift Registration

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 4. Target Tracking and Multi-Sensor Fusion with Adaptive Cubature Information Filter

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 5. Multi-Target Tracking with Gaussian Mixture CPHD Filter and Gating Technique

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 6. Bearing-Only Multiple Target Tracking with the Sequential PHD Filter for Multi-Sensor Fusion

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 7. Joint Detection, Tracking, and Classification Using Finite Set Statistics and Generalized Bayesian Risk

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 8. Redundant Adaptive Robust Tracking for Active Satellite

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 9. Optimal-Switched H∞ Robust Tracking for Maneuvering Space Target

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

Visual Tracking and Fusion

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 10. Constrained Image Deblurring with Sparse Proximal Newton Splitting Method

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 11. Simultaneous Visual Recognition and Tracking Based on Joint Decision and Estimation

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 12. Incremental Visual Tracking with l1 Norm Approximation and Grassmann Update

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 13. Image Fusion Using the Quincunx-Sampled Discrete Wavelet Frame

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 14. Multi-Focus Image Fusion Using Pulse Coupled Neural Network

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 15. Evaluation of Focus Measures in Multi-Focus Image Fusion

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

Spacecraft Control for Tracking

Frontmatter

2018 | OriginalPaper | Chapter

Chapter 16. Dynamic Optimal Sliding-Mode Control for Active Satellite Tracking

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

2018 | OriginalPaper | Chapter

Chapter 17. Optimal Dynamic Inversion Control for Spacecraft Maneuver-Aided Tracking

Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong

Backmatter

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