Remote Sensing Digital Image Analysis An Introduction

Remote Sensing Digital Image Analysis An Introduction / by John A. Richards.

With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners have to computing systems for image interpretation, there is a need to draw together the range of digital image processing procedures and metho...

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Bibliographic Details
Main Author: Richards, John A. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1986.
Edition:1st ed. 1986.
Series:Springer eBook Collection.
Subjects:
Electrical engineering.
Ecology .
Geophysics.
Waste management.
Water pollution.
Air pollution.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1—Sources and Characteristics of Remote Sensing Image Data
  • 2—Error Correction and Registration of Image Data
  • 3—The Interpretation of Digital Image Data
  • 4—Radiometric Enhancement Techniques
  • 5—Geometric Enhancement Using Image Domain Techniques
  • 6—Multispectral Transformations of Image Data
  • 7—Fourier Transformation of Image Data
  • 8—Supervised Classification Techniques
  • 9—Clustering and Unsupervised Classification
  • 10—Feature Reduction
  • 11—Image Classification Methodologies
  • Appendix A—Satellite Altitudes and Periods
  • References for Appendix A
  • Appendix B—Binary Representation of Decimal Numbers
  • Appendix C—Essential Results from Vector and Matrix Algebra
  • C.1 Definition of a Vector and a Matrix
  • C.2 Properties of Matrices
  • C.3 Multiplication, Addition and Subtraction of Matrices
  • C.4 The Eigenvalues and Eigenvectors of a Matrix
  • C.5 Some Important Matrix, Vector Operations
  • C.6 An Orthogonal Matrix — the Concept of a Matrix Transpose
  • C.7 Diagonalisation of a Matrix
  • References for Appendix C
  • Appendix D —Some Fundamental Material from Probability and Statistics
  • D.I Conditional Probability
  • D.2 The Normal Probability Distribution
  • D.2.1 The Univariate Case
  • D.2.2 The Multivariate Case
  • References for Appendix D
  • Appendix E —Penalty Function Derivation of the Maximum Likelihood Decision Rule
  • E.1 Loss Functions and Conditional Average Loss
  • E.2 A Particular Loss Function
  • References for Appendix E
  • Appendix F —Real Time Image Processing in Interactive Image Display Systems
  • F.1 Introduction
  • F.2 The Use of Look Up Tables
  • F.3 Point Processing: The Use of Pipelines
  • F.4 The Use of Feedback and Feedback Processing
  • F.5 Neighbourhood Operations
  • F.6 Limitations with Display Sub-System Processing
  • References for Appendix F.

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