Photoelectric Detection on Derived Attributes of Targets 9789819941568, 9789819941575

Table of contents :
Preface
Contents
1 Introduction
1.1 Overview of Target Detection
1.1.1 Target Detection
1.1.2 Influences of Detection Technologies on Combat and Its Development Trend
1.1.3 Electronic and Acoustic Detection
1.1.4 Photoelectric Detection
1.2 Detection on Derived Attributes of Targets
1.2.1 Concepts of Derived Attributes of Targets
1.2.2 Connotations of Derived Attributes of Targets
1.2.3 Typical Photoelectric Detection Methods for Derived Attributes of Targets
References
2 Laser Detection on Disturbance of Wind-Field of Air Moving Targets
2.1 Characteristics of Atmospheric Wind Fields and Acquisition of Disturbance Information of Targets
2.1.1 Characteristics of Atmospheric Wind Fields
2.1.2 Principle of the Information Acquisition Algorithm of Moving Targets
2.1.3 Inversion Algorithm for Distribution of the Atmospheric Wind Field
2.1.4 Information Acquisition Algorithm of Moving Targets
2.1.5 Experimental Verification
2.2 The Detection System for Target-Induced Atmospheric Wind-Field Disturbances and Performance Analysis
2.2.1 Structure of the Detection System
2.2.2 Performance Analysis of the Detection System
2.3 Generation Mechanisms and Characteristics of the Disturbance Field of Trailing Vortexes
2.3.1 Generation Mechanisms of the Disturbance Field of Trailing Vortexes
2.3.2 Analytical Model of the Disturbance Fields of Trailing Vortexes
2.3.3 Characteristic Parameters of the Disturbance Field of Trailing Vortexes
2.3.4 Simulation Analysis
2.4 Detection of Trailing Vortexes Based on the Coherent Doppler Lidar
2.4.1 Coherent Doppler Laser Detection Principle of Aircraft Trailing Vortexes
2.4.2 Modeling and Analysis of Doppler Spectra for Echoes from Trailing Vortexes
2.5 Identification Trailing Vortexes of Airplanes and Parameter Extraction Based on Laser Echoes
2.5.1 Preprocessing of Echoes of Lidar Detection
2.5.2 Identification of Trailing Vortexes of Airplanes Based on Doppler Spectral Characteristics
2.5.3 Parameter Extraction of Trailing Vortexes of Airplanes Based on Laser Echoes
References
3 Laser Detection on Atmospheric Components Disturbed by Aerial Moving Targets
3.1 Laser Detection on Atmospheric CO2 Disturbance
3.1.1 Characteristics of Atmospheric CO2 Disturbance by Targets
3.1.2 Laser Detection Principles of the Atmospheric CO2 Disturbances
3.1.3 DIAL Detection System Schemes
3.2 Detection of the Water–Vapor Concentration
3.2.1 Detection Principle of the Water–Vapor Concentration
3.2.2 Design of the DIAL Detection System
3.2.3 Performance Analysis and Simulation of Detection of the Water–Vapor Concentration
3.3 Analysis of Detection Performance for Disturbances of Atmospheric Component
3.3.1 Empirical Mode Decomposition and Data Preprocessing Performance
3.3.2 Inversion Precision of Gas Concentrations
3.3.3 Influences of Atmospheric Attenuation and Turbulences on Detection Performance
References
4 Active Imaging Detection on Target Retroreflection Features
4.1 Detection Principle of Retroreflection Features of Targets
4.2 Quantification and Realization of Retroreflection Features
4.2.1 Retroreflection Features
4.2.2 Quantitative Modeling of Retroreflection Features
4.2.3 Analysis of the Active Imaging System
4.3 Retroreflector Detection and Extraction
4.3.1 Analysis of Feature Salience
4.3.2 Modeling Based on Feature Salience
4.3.3 Target Detection Based on Feature Salience
4.4 Retroreflector Detection Examples
4.4.1 Retroreflector Examples
4.4.2 Analysis and Design of the Active Imaging System
4.4.3 Target Detection Through Multifeature Fusion Based on Feature Salience
References
5 Passive Imaging Detection on Identity Attributes of Targets
5.1 Grayscale Processing of Color-Discrete Characteristic
5.1.1 Analysis of Grayscale Methods
5.1.2 Grayscale Processing Principle of Color-Discrete Characteristic
5.1.3 Preprocessing of Grayscale
5.2 Identification and Recognition Based on the Improved SIFT
5.2.1 Overview of the SIFT Operator
5.2.2 Elliptical-Neighborhood SIFT Operator
5.2.3 Identification Methods
5.2.4 Experimental Tests
References
6 Detection and Processing of Synthetic Attributes of Integrated Aerospace Images of Targets on the Ground and Sea Surface
6.1 Modeling and Simulation of Detection Images Fusion Based on Integrated Aerospace
6.1.1 Spectral Dimensional Transformation Based on Integrated Aerospace
6.1.2 Scale-Space Transformation Based on Integrated Aerospace
6.1.3 Radiation Intensity Transformation Based on Integrated Aerospace
6.1.4 Mixed Pixels Transformation Based on Integrated Aerospace
6.1.5 Noise Transformation Based on Integrated Aerospace
6.1.6 Simulation Analysis
6.2 Combined Ant Colony Optimization of Spatial-Spectral 2D Features in Detection Images
6.2.1 Combined ACO of Spatial-Spectral 2D Features
6.2.2 Simulation Experiments and Analysis
6.3 Classification of Detection Images Based on Artificial Immune Network
6.3.1 Modeling and Kernel Space Mapping of AIN
6.3.2 AIN Training and Classification of Detection Images
6.3.3 Simulation Experiments
6.4 Classification of Detection Images Based on k-Nearest Neighbor Simplex
6.4.1 Proportions and Clustering Features of Samples
6.4.2 AC-std Metric
6.4.3 kNNS Based on AC-std
6.4.4 Simulation Experiments
6.5 Synthetic Attribute Detection of Targets in Sea Background
6.5.1 Fusion Principle
6.5.2 Algorithm Design
6.5.3 Simulation Experiments
References

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