Buch, Englisch, 752 Seiten, Format (B × H): 184 mm x 240 mm, Gewicht: 980 g
Buch, Englisch, 752 Seiten, Format (B × H): 184 mm x 240 mm, Gewicht: 980 g
ISBN: 978-0-19-949664-8
Verlag: Oxford University Press
Beginning with the history and basic concepts of remote sensing and GIS, the book gives an exhaustive coverage of optical, thermal, and microwave remote sensing, global navigation satellite systems (such as GPS and IRNSS), digital photogrammetry, visual image analysis, digital image processing, spatial and attribute data model, geospatial analysis, and planning, implementation, and management of GIS. It also presents the modern trends of remote sensing and GIS with an illustrated discussion on its numerous applications.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- 1. Concept of Remote Sensing
- 1.1 Introduction
- 1.2 Distance of Remote Sensing
- 1.3 Definition of Remote Sensing
- 1.4 Remote Sensing: Art and/or Science
- 1.5 Data
- 1.5.1 In Situ Data
- 1.5.2 Remotely Sensed Data
- 1.6 Remote Sensing Process
- 1.7 Source of Energy
- 1.7.1 Concept of Energy
- 1.7.2 Electromagnetic Radiation
- 1.7.3 Electromagnetic Spectrum
- 1.8 Interaction with Atmosphere
- 1.8.1 Absorption
- 1.8.2 Scattering
- 1.8.3 Refraction
- 1.8.4 Reflection
- 1.9 Interaction with Target
- 1.9.1 Hemispherical Absorptance, Transmittance, and Reflectance
- 1.9.2 Spectral Reflectance Curve
- 1.10 Interaction with the Atmosphere Again
- 1.11 Recording of Energy by Sensor
- 1.11.1 Target and Path Radiance
- 1.12 Transmission, Reception, and Processing
- 1.13 Interpretation and Analysis
- 1.13.1 Visual Image Interpretation
- 1.13.2 Digital Image Processing
- 1.14 Applications of Remote Sensing
- 1.15 Advantages of Remote Sensing
- 1.16 Limitations of Remote Sensing
- 1.17 Ideal Remote Sensing System
- 2. Types of Remote Sensing and Sensor Characteristics
- 2.1 Introduction
- 2.2 Types of Remote Sensing
- 2.2.1 Classification Based on Platform
- 2.2.2 Classification Based on Energy Source
- 2.2.3 Classification Based on Imaging Media
- 2.2.4 Classification Based on the Regions of Electromagnetic Spectrum
- 2.2.5 Classification Based on Number of Bands
- 2.3 Characteristics of Images
- 2.4 Orbital Characteristics of Satellite
- 2.4.1 Orbit of Remote Sensing Satellite
- 2.5 Remote Sensing Satellites
- 2.6 Concept of Swath
- 2.7 Concept of Nadir
- 2.8 Sensor Resolutions
- 2.8.1 Spatial Resolution
- 2.8.2 Spectral Resolution
- 2.8.3 Radiometric Resolution
- 2.8.4 Temporal Resolution
- 2.9 Image Referencing System
- 2.9.1 Path
- 2.9.2 Row
- 2.9.3 Orbital Calendar
- 3. History of Remote Sensing and Indian Space Program
- 3.1 Introduction
- 3.2 The Early Age
- 3.3 The Middle Age
- 3.4 The Modern Age or Space Age
- 3.5 Indian Space Program
- 3.5.1 DOS and ISRO
- 3.5.2 NRSC
- 3.5.3 Indian Launch Programs
- 4. Photographic Imaging
- 4.1 Introduction
- 4.2 Camera Systems
- 4.2.1 Components of Aerial Metric Camera
- 4.2.2 Photographic Parameters
- 4.3 Types of Camera
- 4.3.1 Metric Cameras
- 4.3.2 Multiple-lens (or Multi- spectral or Multiple-band) Cameras
- 4.3.3 Panoramic Cameras
- 4.3.4 Strip Cameras
- 4.3.5 Large Format Cameras
- 4.4 Filter
- 4.4.1 Absorption Filter
- 4.4.2 Interference Filter
- 4.4.3 Anti-vignetting Filter
- 4.4.4 UV Filter and Skylight Filter
- 4.4.5 Haze Filter
- 4.4.6 Polarizing Filter
- 4.5 Film
- 4.5.1 Types of Film
- 4.5.2 Film Size
- 4.5.3 Film Resolution
- 4.5.4 Processing of Black-and-White Film
- 4.5.5 Processing of Colour Film
- 4.5.6 Digitization of Film
- 4.6 Geometry of Aerial Photography
- 4.6.1 Scale of Photograph
- 4.6.2 Vantage Point
- 4.7 Ideal Time and Atmosphere for Aerial Remote Sensing
- 5. Digital Imaging
- 5.1 Introduction
- 5.2 Digital Image
- 5.3 Sensor
- 5.3.1 Dispersing Element
- 5.3.2 Filter
- 5.3.3 Spectrometer and Spectroradiometer
- 5.3.4 Detectors
- 5.4 Imaging by Scanning Technique
- 5.4.1 Across-track Scanning
- 5.4.2 Along-track Scanning
- 5.5 Hyper-spectral Imaging
- 5.5.1 Airborne Visible Infrared Imaging Spectrometer (AVIRIS)
- 5.5.2 Compact Airborne Spectrographic Imager-2 (CASI-2)
- 5.5.3 Compact High Resolution Imaging Spectrometer (CHRIS)
- 5.6 Imaging By Non-scanning Technique
- 5.7 Thermal Remote Sensing
- 5.7.1 Radiant versus Kinetic Temperature
- 5.7.2 Blackbody Radiation
- 5.7.3 Thermal Imaging
- 5.7.4 Thermal Properties
- 5.7.5 Thermal Image and Temperature Mapping
- 5.7.6 Thermal Remote Sensing Sensors
- 5.8 Other Sensors
- 6. Microwave Remote Sensing
- 6.1 Introduction
- 6.2 Passive Microwave Remote Sensing
- 6.2.1 Passive Microwave Imagers
- 6.3 Active Microwave Remote Sensing
- 6.4 Radar Imaging
- 6.4.1 Frequency/Wavelength
- 6.4.2 Polarization
- 6.4.3 Viewing Geometry
- 6.4.4 Spatial Resolution of Radar System
- 6.4.5 Speckle
- 6.4.6 Surface Geometry
- 6.4.7 Surface Roughness
- 6.4.8 Dielectric Properties
- 6.5 Airborne Versus Space-Borne Radars
- 6.6 Radar Systems
- 6.6.1 RISAT - 1
- 7. Ground-truth Data and Global Positioning System
- 7.1 Introduction
- 7.2 Requirements of Ground-Truth Data
- 7.3 Instruments for Ground Truthing
- 7.4 Parameters of Ground Truthing
- 7.4.1 Atmospheric Conditions
- 7.4.2 Surface Water
- 7.4.3 Vegetation
- 7.4.4 Soil, Bare Ground, and Rock
- 7.4.5 Dark and Light Calibration Targets
- 7.5 Factors of Spectral Measurement
- 7.5.1 Sun Angles
- 7.5.2 Cloud Condition
- 7.5.3 Aerosol, Haze, and Water Vapour
- 7.5.4 Topography
- 7.5.5 Shadows
- 7.6 Global Navigation Satellite System
- 7.6.1 Satellite-based Navigation and Positioning Systems
- 7.6.2 Functional Segments of GPS
- 7.6.3 Working Principle of GPS
- 7.6.4 GPS Signals
- 7.6.5 Errors of GPS
- 7.6.6 Positioning Methods
- 7.6.7 Differential Global Positioning System
- 7.6.8 GPS Receivers
- 7.6.9 Applications of GNSS
- 8. Photogrammetry
- 8.1 Introduction
- 8.2 Development of Photogrammetry
- 8.3 Classification of Photogrammetry
- 8.4 Photogrammetric Process
- 8.5 Acquisition of Imagery and its Support Data
- 8.5.1 Acquisition of Imagery Using Aerial Platform
- 8.5.2 Acquisition of Imagery Using Satellite Platform
- 8.5.3 Control Surveys
- 8.5.4 Geometric Distortion in Imagery
- 8.6 Orientation and Triangulation
- 8.6.1 Coordinate Systems
- 8.6.2 Orientation
- 8.6.3 Block Triangulation
- 8.6.4 Transformation
- 8.7 Stereo Model Compilation
- 8.8 Stereoscopic 3D Viewing
- 8.8.1 Stereoscopic Viewing in Analog Photogrammetry
- 8.9 Stereoscopic Measurement
- 8.9.1 x-Parallax
- 8.9.2 y-parallax
- 8.10 DTM/DEM Generation
- 8.11 Contour Map Generation
- 8.12 Orthorectification
- 8.13 3D Feature Extraction
- 8.14 3D Scene Modelling
- 8.15 Photogrammetry and LiDAR
- 8.16 Radargrammetry and Radar Interferometry
- 8.17 Limitations of Photogrammetry
- 9. Visual Image Interpretation
- 9.1 Introduction
- 9.2 Information Extraction by Human and Computer
- 9.3 Remote Sensing Data Products
- 9.4 Border or Marginal Information
- 9.5 Image Interpretation
- 9.6 Elements of Visual Image Interpretation
- 9.6.1 Location
- 9.6.2 Size
- 9.6.3 Shape
- 9.6.4 Shadow
- 9.6.5 Tone
- 9.6.6 Colour
- 9.6.7 Texture
- 9.6.8 Pattern
- 9.6.9 Height and Depth
- 9.6.10 Site, Situation, and Association
- 9.7 Interpretation Keys
- 9.8 Generation of Thematic Maps
- 9.9 Thermal Image Interpretation
- 9.9.1 Diurnal Heating Effects
- 9.9.2 Thermal Properties of Water and Land
- 9.9.3 Interpretation of Multispectral Thermal Image
- 9.10 Radar Image Interpretation
- 9.10.1 Tone
- 9.10.2 Colour
- 9.10.3 Shape, Structure, and Size
- 9.10.4 Speckle
- 9.10.5 Antenna Pattern
- 9.10.6 Texture
- 10. Digital Image Processing
- 10.1 Introduction
- 10.2 Categorization of Image Processing
- 10.3 Image Processing Systems
- 10.4 Digital Image
- 10.5 Media for Digital Data Recording, Storage, and Distribution
- 10.6 Data Formats of Digital Image
- 10.7 Header Information
- 10.8 Display of Digital Image
- 10.9 Pre-processing
- 10.9.1 Radiometric Correction of Remotely Sensed Data
- 10.9.2 Geometric Correction of Remotely Sensed Data
- 10.9.3 Miscellaneous Pre-processing
- 10.10 Image Enhancement
- 10.10.1 Image Reduction
- 10.10.2 Image Magnification
- 10.10.3 Colour Compositing
- 10.10.4 Transect Extraction
- 10.10.5 Contrast Enhancement
- 10.10.6 Filtering
- 10.11 Image Transformation
- 10.11.1 Image Arithmetic Operations
- 10.11.2 Principal Component Transformation
- 10.11.3 Tasselled Cap Transformation (KT Transformation)
- 10.11.4 Colour Space Transformation
- 10.11.5 Fourier Transformation
- 10.11.6 Image Fusion
- 10.12 Image Classification
- 10.12.1 Information Class and Spectral Class
- 10.12.2 Supervised Versus Unsupervised Classification
- 10.12.3 Decision Rules for Supervised Classification
- 10.12.4 Decision Rules for Unsupervised Classification
- 10.12.5 Subpixel Classification
- 10.12.6 Accuracy Assessment
- 10.12.7 Post-classification Processing
- 11. Data Integration, Analysis, and Presentation
- 11.1 Introduction
- 11.2 Multi-approach of Remote Sensing
- 11.2.1 MultiSensor, Multiplatform, and MultiResolution Images
- 11.2.2 Multi-Spectral Images
- 11.2.3 MultiTemporal/MultiSeasonal Images
- 11.2.4 Multistage, Multiplatform, MultiScale, and MultiResolution
- 11.2.5 MultiSource Data
- 11.3 Integration with Ground Truth and Other Ancillary Data
- 11.4 Integration of Transformed Data
- 11.5 Integration with GIS
- 11.6 Process of Remote Sensing Data Analysis
- 11.7 The Level of Detail
- 11.8 Limitations of Remote Sensing Data Analysis
- 11.9 Presentation
- 12. Applications of Remote Sensing
- 12.1 Introduction
- 12.2 Land Cover and Land Use
- 12.2.1 Land-use/Land-cover Change
- 12.2.2 Land-cover Mapping
- 12.3 Agriculture
- 12.3.1 Crop Type Mapping
- 12.3.2 Crop Monitoring and Crop Damage Assessment
- 12.4 Forestry
- 12.4.1 Clear-cut Mapping and Deforestation
- 12.4.2 Species Identification and Typing
- 12.4.3 Burn Mapping
- 12.5 Geology
- 12.5.1 Structural Mapping and Terrain Analysis
- 12.5.2 Lineament Extraction
- 12.5.3 Geologic Unit Mapping
- 12.6 Geomorphology
- 12.7 Urban Applications
- 12.8 Hydrology
- 12.8.1 Flood Delineation and Mapping
- 12.8.2 Soil Moisture
- 12.8.3 Groundwater Prospects and Recharge
- 12.9 Mapping
- 12.9.1 Planimetry
- 12.9.2 Digital Elevation Models
- 12.9.3 Topographic and BTM
- 12.10 Oceans and Coastal Monitoring
- 12.10.1 Ocean Features
- 12.10.2 Ocean Colour and Phytoplankton Concentration
- 12.10.3 Measurement of SST
- 12.10.4 Oil Spill Detection
- 12.10.5 Sea-Surface Height
- 12.10.6 Sea-Surface Roughness
- 12.10.7 Ship Routing
- 12.10.8 Sea Ice
- 12.11 Monitoring of Atmospheric Constituents
- PART II Geographic Information Systems and Geospatial Analysis
- 13. Concept of Geographic Information Systems
- 13.1 Introduction
- 13.2 Definitions of GIS
- 13.3 Key Components of GIS
- 13.4 GIS-An Integration of Spatial and Attribute Information
- 13.5 GIS-Three Views of Information System
- 13.6 GIS and Related Terms
- 13.7 GIS-A Knowledge Hub
- 13.7.1 Geography
- 13.7.2 Cartography
- 13.7.3 Remote Sensing
- 13.7.4 Photogrammetry
- 13.7.5 Surveying
- 13.7.6 Geodesy
- 13.7.7 Global Navigation Satellite Systems
- 13.7.8 Statistics
- 13.7.9 Operations Research
- 13.7.10 Computer Science
- 13.7.11 Mathematics
- 13.7.12 Civil Engineering
- 13.8 GIS-A Set of Interrelated Subsystems
- 13.8.1 Data Processing Subsystem
- 13.8.2 Data Analysis Subsystem
- 13.8.3 Information Use Subsystem
- 13.8.4 Management Subsystem
- 13.8.5 Communication Subsystem
- 13.9 GIS-An Information Infrastructure
- 13.10 Origin of GIS
- 14. Functions and Advantages of GIS
- 14.1 Introduction
- 14.2 Functions of GIS
- 14.3 Application Areas of GIS
- 14.4 Advantages of GIS
- 14.4.1 Advantage over Traditional Map
- 14.4.2 Advantage over Mapping Software
- 14.4.3 Advantage over CAD
- 14.4.4 Advantage over AM/FM
- 14.4.5 Advantage over Conventional DBMS
- 14.4.6 Advantage of Analysis, Modelling, Presentation, and Decision Making
- 14.5 Functional Requirements of GIS
- 14.5.1 Relating Information from Different Sources
- 14.5.2 Data Capture
- 14.5.3 Database Storage and Management
- 14.5.4 Data Integration
- 14.5.5 Projection and Registration
- 14.5.6 Data Structures
- 14.5.7 Spatial Analysis
- 14.5.8 Data Modelling
- 14.5.9 Presenting Results
- 14.6 Limitations of GIS
- 15. Spatial Data Model
- 15.1 Introduction
- 15.2 Spatial, Thematic, and Temporal Dimensions of Geographic Data
- 15.3 Spatial Entity and Object
- 15.4 Spatial Data Model
- 15.4.1 Conceptual Data Model
- 15.4.2 Logical Data Model
- 15.4.3 Object-oriented Data Model
- 15.5 Raster Data Model
- 15.5.1 Field-based Raster Model
- 15.5.2 Object-based Raster Model
- 15.6 Vector Data Model
- 15.6.1 Object-based Vector Model
- 15.6.2 Field-based Vector Model
- 15.7 Raster versus Vector
- 15.8 Object-Oriented Data Model
- 15.8.1 Classification of Objects
- 15.9 File Formats of Spatial Data
- 16. Attribute Data Management and Metadata Concept
- 16.1 Introduction
- 16.2 Concept of Database and DBMS
- 16.2.1 Tables
- 16.2.2 Queries
- 16.2.3 Reports
- 16.2.4 Forms
- 16.3 Advantages of DBMS
- 16.4 Functions of DBMS
- 16.5 File and Data Access
- 16.5.1 Simple List
- 16.5.2 Ordered Sequential File
- 16.5.3 Indexed File
- 16.5.4 Databases
- 16.6 Data Models
- 16.7 Database Models
- 16.7.1 Object-based Model
- 16.7.2 Record-based Model
- 16.7.3 Physical Model
- 16.8 Data Models in GIS
- 16.9 Concept of SQL
- 16.10 Concept of Metadata
- 16.10.1 Role of Metadata in GIS
- 16.10.2 Metadata Standards
- 16.10.3 Metadata Formats
- 16.10.4 Questions to be Answered to Create Metadata
- 17. Process of GIS
- 17.1 Introduction
- 17.2 Data Capture
- 17.3 Data Sources
- 17.3.1 Conventional Analog Map Sources
- 17.3.2 Reports and Publications
- 17.3.3 Aerial Remote Sensing/Aerial Photography
- 17.3.4 Satellite Remote Sensing
- 17.3.5 Field Data Sources
- 17.3.6 Existing Digital Map Sources
- 17.4 Data Encoding Methods
- 17.4.1 Encoding Raster Data
- 17.4.2 Encoding Vector Data
- 17.4.3 Verification and Quality Checking of Vector Data
- 17.4.4 Vector Editing/Cleaning
- 17.4.5 Encoding Attribute Data
- 17.4.6 Digital File/Data Transfer
- 17.5 Linking of Spatial and Attribute Data
- 17.6 Organizing Data for Analysis
- 18. Geospatial Analysis
- 18.1 Introduction
- 18.2 Geospatial Data Analysis
- 18.3 Integration and Modelling of Spatial Data
- 18.4 Geospatial Data Analysis Methods
- 18.5 Database Query
- 18.5.1 Vector Data Query
- 18.5.2 Raster Data Query
- 18.6 Geospatial Measurements
- 18.6.1 Measurement of Density
- 18.6.2 Measurement of Distance
- 18.6.3 Measurement of Neighbourhood
- 18.7 Overlay Operations
- 18.7.1 Vector Overlay
- 18.7.2 Raster Overlay
- 18.8 Network Analysis
- 18.8.1 Network Tracing
- 18.8.2 Network Routing
- 18.8.3 Network Allocation
- 18.9 Surface Analysis
- 18.9.1 Deriving Contours/Isolines
- 18.9.2 Deriving Slope
- 18.9.3 Deriving Aspect
- 18.9.4 Hillshade Analysis
- 18.9.5 Viewshed Analysis
- 18.9.6 Watershed Analysis
- 18.9.7 Surface Intersection
- 18.10 Geostatistics
- 18.11 Geovisualization
- 18.11.1 Classification and Reclassification
- 18.11.2 Map Comparison
- 18.11.3 Chart
- 18.11.4 Report
- 18.11.5 Layout
- 18.11.6 3D Visualization
- 19. Planning, Implementation, and Management of GIS
- 19.1 Introduction
- 19.2 Planning of Project
- 19.2.1 Considering the Strategic Purpose
- 19.2.2 Plan for the Planning
- 19.2.3 Determine Technology Requirements
- 19.2.4 Describing Information Products
- 19.2.5 Defining System Scope
- 19.2.6 Designing Database
- 19.2.7 Choosing Logical Data Model
- 19.2.8 Determining System Requirements
- 19.2.9 Analysing Benefits and Costs
- 19.2.10 Implementation Plan
- 19.3 Implementation of Project
- 19.3.1 Procurement of Hardware and Software
- 19.3.2 Organization of Project Team
- 19.3.3 Training
- 19.3.4 Execution of Project
- 19.3.5 Quality Control and Quality Checking
- 19.3.6 Project Reporting
- 19.3.7 Project Meetings
- 19.4 Management of Project
- 19.4.1 Schedule/Time Management
- 19.4.2 Cost Management
- 19.4.3 Quality Management
- 19.4.4 Human Resource Management
- 19.4.5 Contract/Procurement Management
- 19.4.6 Communications Management
- 19.4.7 Scope Management
- 19.4.8 Risk Management
- 19.4.9 Project Integration Management
- 19.5 Keys for Successful GIS
- 19.6 Reasons for Unsuccessful GIS
- 20. Modern Trends of GIS
- 20.1 Introduction
- 20.2 Local to Global Concept in GIS
- 20.3 Increase in Dimensions in GIS
- 20.4 Linear to Non-linear Techniques in GIS
- 20.5 Development in Relation between Geometry and Algebra in GIS
- 20.6 Development of Common Techniques in GIS
- 20.7 Integration of GIS and Remote Sensing
- 20.8 Integration of GIS and Multimedia
- 20.8.1 Multimedia/Hypermedia GIS
- 20.8.2 Web GIS
- 20.9 3D GIS
- 20.9.1 Virtual Reality in GIS
- 20.10 Integration of 3D GIS and Web GIS
- 20.11 4D GIS and Real-time GIS
- 20.12 Mobile GIS
- 20.12.1 Mobile mapping
- 20.13 Collaborative GIS (CGIS)
- 21. Change Detection and Geosimulation
- 21.1 Visual change detection
- 21.2 Thresholding
- 21.3 Image difference
- 21.4 Image regression
- 21.5 Image ratioing
- 21.6 Vegetation index differencing
- 21.7 Principal component differencing
- 21.8 Multi-temporal image stock classification
- 21.9 Post classification comparison
- 21.10 Change vector analysis
- 21.12 Cellular automata simulation
- 21.13 Multi-agent simulation
- 21.4 ANN learning in simulation
- Appendix A
- Concept of Map, Coordinate System, and Projection
- A.1 Introduction
- A.2 What is Map?
- A.2.1 How Maps Convey Location and Extent?
- A.2.2 How Maps Convey Characteristics of Features?
- A.2.3 How Maps Convey Spatial Relationships?
- A.3 Orientation, Scale, Detail, Accuracy, and Resolution of Maps
- A.4 Classification of Maps
- A.4.1 Topographical Map by Survey of India
- A.5 Coordinate System
- A.5.1 Cartesian Coordinate System
- A.5.2 Geographic Coordinate System
- A.5.3 Projected Coordinate System
- A.6 Projection
- A.6.1 Selection of Map Projection
- A.7 Classification of Map Projection
- A.7.1 Cylindrical Projection
- A.7.2 Conical Projection
- A.7.3 Azimuthal Projection
- A.7.4 Miscellaneous Projection
- A.8 Projection Parameters
- A.8.1 Linear Parameters
- A.8.2 Angular Parameters
- A.9 Common Map Projections
- A.9.1 Polyconic Projection
- A.9.2 Lambert's Azimuthal Equal-area Projection
- A.9.3 UTM Projection
- A.9.4 Latitude/Longitude Geographic Coordinates
- Appendix B Concept on Mathematical Topics
- B.1 Introduction
- B.2 Number Systems
- B.2.1 Conversion of Any Number to Decimal Number System
- B.2.2 Conversion of Binary to Hexadecimal
- B.2.3 Conversion of Hexadecimal to Binary
- B.2.4 Conversion of Decimal to Any Other Number
- B.2.5 Binary Addition
- B.2.6 Complement
- B.2.7 Representation of Negative Numbers
- B.2.8 Floating-Point Number Representation
- B.3 Matrix
- B.3.1 Matrix Notation
- B.3.2 Matrix Transposition
- B.3.3 Summation of Matrix Elements
- B.3.4 Matrix Multiplication
- B.4 Polynomials
- B.5 Digital Imagery Coordinate
- B.6 Dimensionality of Image Data
- B.7 Pixel Window
- B.8 Image Histogram
- B.9 Mean
- B.10 Median
- B.11 Mode
- B.12 Variance
- B.13 Standard Deviation
- B.14 Covariance
- B.15 Covariance Matrix
- B.16 Measurement Vector
- B.17 Mean Vector
- B.18 Image Space and Feature Space
- B.18.1 Feature Space Image
- B.19 Factorial
- B.20 Threshold
- B.21 Fuzzy Logic
- B.22 Artificial Neural Network
- B.23 Greek Alphabets
- Acronyms and Glossary
- References
- Index
