Table of Contents

• A. About the Author
• B. Preface
• C. Acknowledgments
• 1. Overview
• 2. Overview of Remotely Sensed Data
• 3. Storage of Remotely Sensed Data
• 4. Image Processing Systems
• 5. Image Geometric Rectification
• 6. Image Enhancement
• 7. Spectral Image Analysis
• 8. Neural Network Image Analysis
• 9. Decision Tree Image Analysis
• 10. Spatial Image Analysis
• 11. Intelligent Image Analysis
• 12. Classification Accuracy Assessment
• 13. Multitemporal Image Analysis
• 14. Integrated Image Analysis
• A. COLOR PLATES

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Expanded Table of Contents

• A. About the Author
• B. Preface
• C. Acknowledgments
• 1. Overview
  • Image Analysis System
  • Features of Digital Image Analysis
  • Components of Image Analysis
  • Preliminary Knowledge
  • Properties of Remotely Sensed Data
  • Organization of the Book
• 2. Overview of Remotely Sensed Data
  • Meteorological Satellite Data
  • Oceanographic Satellite Data
  • Earth Resources Satellite Data
  • Very High Spatial Resolution Data
  • Hyperspectral Data
  • Radar Data
  • Conversion from Analog Materials
  • Proper Selection of Data
• 3. Storage of Remotely Sensed Data
  • Storage of Multispectral Images
  • Storage Media
  • Format of Image Storage
  • Data Compression
• 4. Image Processing Systems
  • IDRISI
  • ERDAS Imagine
  • ENVI
  • ER Mapper
  • PCI
  • eCognition
  • GRASS
  • Comparison
• 5. Image Geometric Rectification
  • Sources of Geometric Distortion
  • Projection and Coordinate Systems
  • Fundamentals of Image Rectification
  • Rectification Models
  • Polynomial-Based Image Rectification
  • Issues in Image Georeferencing
  • Image Orthorectification
  • Image Direct Georeferencing
  • Image Subsetting and Mosaicking
• 6. Image Enhancement
  • Contrast Stretching
  • Histogram Matching
  • Spatial Filtering
  • Edge Enhancement and Detection
  • Multiple-Image Manipulation
  • Image Transformation
  • Image Filtering in Frequency Domain
  • References
• 7. Spectral Image Analysis
  • General Knowledge of Image Classification
  • Distance in the Spectral Domain
  • Unsupervised Classification
  • Supervised Classification
  • Per-Pixel Image Classifiers
  • Unsupervised and Supervised Classification
  • Fuzzy Image Classification
  • Subpixel Image Classification
  • Postclassification Filtering
  • Presentation of Classification Results
• 8. Neural Network Image Analysis
  • Fundamentals of Neural Networks
  • Neural Network Architecture
  • Network Learning
  • Network Configuration
  • Network Training
  • Features of ANN Classifiers
  • Parametric or ANN Classifier?
• 9. Decision Tree Image Analysis
  • Fundamentals of Decision Trees
  • Types of Decision Trees
  • Construction of Decision Trees
  • Common Trees in Use
  • Decision Tree Classification
• 10. Spatial Image Analysis
  • 10.1 Texture and Image Classification
  • Contexture and Image Analysis
  • Image Segmentation
  • Fundamentals of Object-Oriented Classification
  • Potential of Object-Oriented Image Analysis
• 11. Intelligent Image Analysis
  • Expert Systems
  • Knowledge in Image Classification
  • Knowledge Acquisition
  • Knowledge Representation
  • Evidential Reasoning
  • Knowledge-Based Image Analysis
  • Critical Evaluation
• 12. Classification Accuracy Assessment
  • Precision versus Accuracy
  • Inaccuracy of Classification Results
  • Procedure of Accuracy Assessment
  • Report of Accuracy
• 13. Multitemporal Image Analysis
  • Fundamentals of Change Analysis
  • Qualitative Change Analysis
  • Quantitative Change Analysis
  • Postclassification Change Analysis
  • Novel Change Analysis Methods
  • Accuracy of Change Analysis
  • Visualization of Detected Change
• 14. Integrated Image Analysis
  • GIS and Image Analysis
  • GPS and Image Analysis
  • Necessity of Integration
  • Models of Integration
  • Impediments to Integration
  • Exemplary Analyses of Integration
  • Applications of Integrated Approach
• A. COLOR PLATES