Spatial Statistics and Digital Image Analysis

Name: Spatial Statistics and Digital Image Analysis
Brand: National Academies Press
Price: 120.99 EUR
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National Research Council Division on Engineering and Physical Sciences Commission on Physical Sci(Author)

National Academies Press

1st Edition

Published on 1. January 1991

256 pages

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978-0-309-55727-6 (ISBN)

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Spatial Statistics and Digital Image Analysis
Copyright
Preface
Contents
1 Introduction
Bibliography
2 Image Analysis and Computer Vision
2.1 INTRODUCTION TO IMAGE ANALYSIS
2.2 DIGITAL IMAGES
2.3 SOME PROBLEMS IN IMAGE ANALYSIS
2.3.1 Image Restoration
2.3.2 Boundary Detection
2.3.3 Tomographic Reconstruction
2.3.4 Three-Dimensional Shape Reconstruction
Stereopsis
Shape-from-Shading
2.4 BAYESIAN/SPATIAL STATISTICS FRAMEWORK
2.4.1 General Framework
Attribute Modeling
Degradation Model
Posterior Distribution
Model Identification
Attribute Estimation
Algorithms
2.4.2 Examples
Image Restoration
Boundary Detection
Single Photon Emission Tomography
Shape-From-Shading
Deformable Templates
Bibliography
3 Oceanographic and Atmospheric Applications of Spatial Statistics and Digital Image Analysis
3.1 INTRODUCTION
3.2 SELECTED ANALYSIS AREAS
3.2.1 Principal Component Analysis
General Concepts
Multispectral Data Application
Multi-Temporal Data Application
3.2.2 Velocity Estimates from Image Sequences
General Comments
Total Flow Field From Pattern Matching
The Normal Component of Flow
Other Representation
The Tangential Component of Velocity
Example
3.2.3 Ice Floe Identification and Principal Curves
Overview of Banfield and Raftery Algorithm
Example
3.3 STORAGE AND IMAGE REPRESENTATION
3.3.1 Storage Considerations
3.3.2 Image Representation
3.4 SPECIAL CONSIDERATIONS
3.5 SUMMARY
ACKNOWLEDGMENTS
Bibliography
Appendix to Chapter 3
4 Spatial Statistics in Environmental Science
4.1 INTRODUCTION
4.2 ESTIMATING SPATIAL COVARIANCE
4.2.1 Example: Spatial Variation in Solar Radiation
4.3 NETWORK DESIGN
4.3.1 Impact Design
4.3.2 Information Transmission Network Design
Example: Finding the Least Informative Station in a Network
4.4 MODELING PRECIPITATION USING SPACE-TIME POINT PROCESSES
Bibliography
5 Geostatistical Analysis of Spatial Data
5.1 INTRODUCTION
5.2 THEORY AND METHODS OF GEOSTATISTICS
5.2.1 The Variogram
5.2.2 Kriging
5.2.3 Conditional Simulation of Spatial Data
5.3 APPLICATIONS AND RESEARCH FRONTIERS
5.3.1 Applications
Flow of Groundwater From A Proposed Nuclear Waste Site
Acid Deposition and Network Design
5.3.2 Research Frontiers
Change of Support
Multivariate Spatial Data
Variogram Model Fitting and its Effect on Inferences
Bibliography
6 Spatial Statistics in the Analysis of Agricultural Field Experiments
6.1 INTRODUCTION
6.2 GENERAL BACKGROUND
6.3 SOME RECENT PROGRESS AND FUTURE DIRECTIONS
6.3.1 Aims
6.3.2 One-Dimensional Adjustment
6.3.3 Two-Dimensional Formulation
6.3.4 Other Approaches and Further Research
Bibliography
7 Spatial Statistics in Ecology
7.1 INTRODUCTION
7.2 POINT PROCESSES
7.2.1 The Poisson Process
7.2.2 Cluster Processes
7.2.3 The Cox Process
7.2.4 Markovian Point Processes
7.3 A SPATIO-TEMPORAL POINT PROCESS MODEL FOR TREE GROWTH
7.4 CONCLUSION AND FURTHER DIRECTIONS
Bibliography
8 Spatial Signal-Processing in Radars and Sonars
8.1 INTRODUCTION
8.2 DETECTION AND ESTIMATION PROBLEM
8.3 USING LINEAR ARRAYS OF UNIFORMLY SPACED SENSORS
8.4 USING GENERAL ARRAYS OF SENSORS
8.5 FUTURE RESEARCH CONSIDERATIONS
Bibliography
9 Stochastic Modeling in Physical Chemistry
9.1 INTRODUCTION
9.2 DIFFUSION CONTROLLED REACTION
9.2.1 Radiation Spurs
The Two-Species Spur
The Ionic System
The Scavenging System
9.3 COMPUTER SIMULATION OF LIQUIDS
9.3.1 Some History
9.3.2 Sampling From Configuration Space
9.3.3 A Typical Computer Experiment
9.4 DISCUSSION AND FUTURE DIRECTIONS
9.4.1 Physical Properties of Matter in Equilibrium
9.4.2 Dynamical and Transport Properties of Matter
9.4.3 Properties of Atoms and Molecules
9.4.4 Statistical Mechanics
9.4.5 Dynamics of Chemical Reactions
9.4.6 Complex Systems
Atmospheric Chemistry-Depletion of Ozone Layer
Combustion
Radiation Chemistry
Surface Kinetics and Electrochemistry
Bibliography
10 Stereology
10.1 INTRODUCTION
10.2 CONCEPTS AND APPLICATIONS
10.2.1 Information from Lower-Dimensional Samples
10.2.2 Stereology is Classical Sampling Theory
10.2.3 The Particle Problem
10.2.4 Unbiased Counting and Sampling
10.2.5 Spatial Interpretation and Inverse Problems
10.2.6 Stochastic Models
Explicit Models
Stationary Models
Semiparametric Models
Data Models
10.3 STATISTICAL THEORY
10.3.1 What To Estimate
10.3.2 Inference
10.3.3 Geometrical Identities
10.3.4 Design-Based Estimation
10.3.5 Model-Based Estimation
10.4 RECENT RESEARCH AND NEW DIRECTIONS
10.4.1 Variance of Systematic Sampling
10.4.2 Fractionator Sampling
10.4.3 New Estimation Formulas
10.4.4 Research Frontiers
Three Dimensions
Structured Models
Markov Models
Bootstrap Methods
Bibliography
BIBLIOGRAPHIC NOTES
11 Markov Models For Speech Recognition
11.1 INTRODUCTION
11.2 BASIC SPEECH CONCEPTS
11.3 SOME RECENT SYSTEMS
11.4 SIGNAL PROCESSING
11.5 PROBABILISTIC RECOGNITION
11.6 IMAGE-PROCESSING PARALLELS
11.7 MODELING OF SPEECH
11.8 HIDDEN MARKOV MODELING
11.9 THE SPHINX PHONEME MODEL
11.10 INSTANTIATION
11.11 COMPUTATIONAL ISSUES: PARAMETER ESTIMATION AND SEARCHES
11.12 FUTURE DIRECTIONS
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