Remote Sensing Digital Image Analysis
An Introduction
Published on 1. October 1986
Book
Hardback
XVII, 281 pages
978-3-540-16007-6 (ISBN)
Description
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 methodologies commonly used in this field into a single treatment. It is the intention of this book to provide such a function, at a level meaningful to the non-specialist digital image analyst, but in sufficient detail that algorithm limitations, alternative procedures and current trends can be appreciated. Often the applications specialist in remote sensing wishing to make use of digital processing procedures has had to depend upon either the mathematically detailed treatments of image processing found in the electrical engineering and computer science literature, or the sometimes necessarily superficial treatments given in general texts on remote sensing. This book seeks to redress that situation. Both image enhancement and classification techniques are covered making the material relevant in those applications in which photointerpretation is used for information extraction and in those wherein information is obtained by classification.
More details
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Professional and scholarly
Illustrations
25
191 s/w Abbildungen, 25 farbige Abbildungen
Weight
755 gr
ISBN-13
978-3-540-16007-6 (9783540160076)
DOI
10.1007/978-3-662-02462-1
Schweitzer Classification
Other editions
New editions
Book
06/1993
2nd Edition
Springer
€85.55
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Additional editions
E-Book
04/2013
Springer
€85.59
Available for download
Content
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.