Handbook of Pattern Recognition and Computer Vision

Description

Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty years. Their applications in our daily life, commerce and industry are growing even more rapidly than theoretical advances. Hence, the need for a new handbook in pattern recognition and computer vision every five or six years as envisioned in 1990 is fully justified and valid. The book consists of three parts: (1) Pattern recognition methods and applications; (2) Computer vision and image processing; and (3) Systems, architecture and technology. This book is intended to capture the major developments in pattern recognition and computer vision though it is impossible to cover all topics. The chapters are written by experts from many countries, fully reflecting the strong international research interests in the areas. This fifth edition will complement the previous four editions of the book. Readership: Graduate students, academics, practitioners, researchers, computer scientists, electrical and medical engineers. Cover Half Title Related Titles Title Page Copyright Page CONTENTS ABOUT THE AUTHORS PREFACE CHAPTER I COGNITIVE SATELLITE SYSTEM 1.1 The Connotation and Extension of Cognitive Systems 1.1.1 Cognitive system connotation 1.1.2 Cognitive system related subject areas 1.2 The Cycle of Cognitive System 1.2.1 Universal model 1.2.2 Cognitive ring model 1.3 The Cycle of Cognitive Satellite 1.3.1 The architecture of Cognitive Satellite System 1.3.2 Information perception 1.3.3 Credible fusion 1.3.4 Learning reasoning 1.3.5 Response control 1.4 Cognitive Engine 1.4.1 Cognitive engine system 1.4.2 Key technology of cognitive engine 1.5 The Design of the Cognitive Satellite System 1.5.1 The concept of the Cognitive Satellite System 1.5.2 The model design of the Cognitive Satellite System REFERENCES CHAPTER II ENVIRONMENTAL CHARACTERISTICS 2.1 SEVERE PROBLEMS FACING SPACE SYSTEMS 2.1.1 Space system characteristics 2.1.2 Uncertainty of the space system environment 2.2 THE OPPORTUNITIES THAT COGNITIVE TECHNOLOGY BRINGS TO THE DEVELOPMENT OF SPACE SYSTEMS 2.2.1 Opportunities brought by cognitive technology to the uncertainty of the wireless environment outside the space system 2.2.2 Cognitive technology brings opportunities for system state environment uncertainty 2.2.3 Cognitive technology brings opportunities for system task environment uncertainty 2.3 ENVIRONMENTAL CHARACTERISTICS OF COGNITIVE SATELLITE SYSTEMS 2.3.1 Environmental randomness 2.3.2 Environmental roughness and fuzziness 2.3.3 Environmental credibility 2.3.4 Environmental specific classification REFERENCES CHAPTER III SPECTRUM SENSING OF SATELLITE SYSTEM 3.1 INTRODUCTION 3.2 SPECTRUM SENSING CONCEPT 3.2.1 Spectrum parameters 3.2.2 Spectrum sensing technology model 3.2.3 Spectrum sensing technology classification 3.3 SATELLITE SYSTEM SPECTRUM SENSING PRINCIPLE 3.3.1 Satellite communication services and their spectrum allocation 3.3.2 Typical satellite cognitive network scene 3.3.3 Problems facing satellite spectrum sensing 3.4 TYPICAL SATELLITE SYSTEM SPECTRUM SENSING TECHNOLOGY 3.4.1 Broadband compressed spectrum sensing technology 3.4.2 Spectrum sensing technology based on microwave photons REFERENCES CHAPTER IV ESTIMATION OF THE ENVIRONMENTAL STATE OF SATELLITE SYSTEMS 4.1 INTRODUCTION 4.2 WIRELESS CHANNEL MODEL 4.2.1 Transmission characteristics of wireless channels 4.2.2 Large-scale fading and small-scale fading 4.3 CHANNEL ESTIMATION TECHNIQUE 4.3.1 Basic principle of channel estimation 4.3.2 Channel estimation technique classification 4.4 CHANNEL STATE PERCEPTION ANALYSIS BASED ON NEW ALGORITHM 4.4.1 Sparse channel estimation based on compressed sensing 4.4.2 Ultra-wideband communication compressed sensing channel estimation 4.5 ADAPTIVE ITERATIVE CHANNEL STATEL SENSING METHOD 4.5.1 Fundamental 4.5.2 Adaptive iterative algorithm 4.5.3 Analysis of algorithm simulation results 4.6 MEDIA ACCESS CONTROL (MAC) SCHEME RESEARCH 4.6.1 Task-oriented adaptive reconfigurable satellite constellation MAC protocol requirement analysis 4.6.2 An improved cognitive radio spectrum access strategy REFERENCES CHAPTER V SATELLITE COMMUNICATION SYSTEM 5.1 SPACE LINK TRANSMISSION CHARACTERISTICS 5.1.1 Propagation Loss 5.1.2 Multipath fading and shadow shadowing 5.1.3 Doppler shift 5.1.4 Propagation noise 5.2 SPACE INFORMATION NETWORK TRANSMISSION LINK 5.2.1 Classification of ISLs 5.2.2 Frequency division and bandwidth setting of ISLs 5.2.3 Allocation strategy for ISLs 5.3 SPATIAL INFORMATION NETWORK TOPOLOGY 5.3.1 Characteristics of the network topology 5.3.2 Network topology classification 5.3.3 Network topology structure generation and update method 5.4 SPATIAL INFORMATION NETWORK ROUTING TECHNOLOGY 5.4.1 Particularity of spatial information network routing 5.4.2 Spatial information network routing design objectives 5.4.3 Types of spatial information network routing 5.5 SPATIAL INFORMATION NETWORK MOBILITY MANAGEMENT 5.5.1 Characteristics of spatial information network management 5.5.2 Architecture analysis of spatial information network management REFERENCES CHAPTER VI INFORMATION PLANNING AND PROCESSING 6.1 STORAGE CONTENTS OF SPACE SYSTEM DATA 6.1.1 Cognitive database 6.1.2 Local database 6.1.3 Global database 6.2 STORAGE OF SPACE SYSTEM DATA 6.2.1 Direct-attached storage 6.2.2 Network tiered storage 6.2.3 Cloud storage 6.3 MINING OF COGNITIVE DATA IN SPACE SYSTEMS 6.3.1 Basic concepts of data mining 6.3.2 Data mining related technology 6.3.3 Data mining features 6.3.4 Mining of cognitive data 6.4 Data Optimization Management 6.4.1 Data mining optimization 6.4.2 Data storage optimization management REFERENCES CHAPTER VII INTELLIGENCE AND DECISION-MAKING OF SPACE SYSTEM 7.1 INTELLIGENCE AND DECISION-MAKING 7.1.1 Basic concepts of intelligent decision-making 7.1.2 Mathematical model of intelligent decision 7.1.3 The representation of knowledge 7.2 INTELLIGENT DECISION SYSTEM 7.2.1 Structure of intelligent decision system 7.2.2 The environment of cognitive satellite systems 7.2.3 Intelligent decision strategy 7.3 METHOD OF INTELLIGENT DECISION-MAKING 7.3.1 Knowledge reasoning method 7.3.2 Machine learning method 7.4 COGNITIVE ENGINE SYSTEM 7.4.1 CR parameters 7.4.2 Cognitive engine 7.4.3 Cognitive engine model 7.4.4 VT-CWT cognitive engine 7.4.5 DoD-LTS cognitive engine 7.4.6 Rondeau cognitive engine 7.5 INTELLIGENT DECISION ALGORITHM 7.5.1 Optimization algorithm 7.5.2 Learning algorithm REFERENCES CHAPTER VIII TYPICAL APPLICATION SCENARIOS 8.1 COGNITIVE SATELLITE COMMUNICATION SYSTEM 8.1.1 System Description 8.1.2 System Model 8.2 COGNITIVE SPATIAL INFORMATION NETWORK 8.2.1 System Description 8.2.2 System Model 8.3 COGNITIVE SATELLITE ELECTRONIC COUNTERMEASURE SYSTEM 8.3.1 System Description 8.3.2 System Model 8.4 COGNITIVE SATELLITE NAVIGATION SYSTEM 8.4.1 System Description 8.4.2 Key Scientific Issues REFERENCES INDEX