
Remote Sensing Digital Image Analysis
An Introduction
Springer (Publisher)
3rd Edition
Published on 4. May 1999
Book
Hardback
XXI, 363 pages
978-3-540-64860-4 (ISBN)
Article exhausted; check for reprint
Description
Revised and enlarged to reflect new developments in the field, the fourth edition of this well-established text provides an introduction to quantitative evaluation of satellite- and aircraft-derived remotely retrieved data. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations.
More details
Edition
3rd ed.
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Edition type
Revised edition
Illustrations
46 s/w Tabellen
181 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
780 gr
ISBN-13
978-3-540-64860-4 (9783540648604)
DOI
10.1007/978-3-662-03978-6
Schweitzer Classification
Other editions
New editions

John A. Richards
Remote Sensing Digital Image Analysis
Book
01/2022
6th Edition
Springer
€106.99
Shipment within 7-9 days

Book
10/2005
4th Edition
Springer
€96.25
Article exhausted; check for reprint
Additional editions

E-Book
03/2013
3rd Edition
Springer
€85.59
Available for download
Previous edition

Book
1994
2nd Edition
Springer
€46.51
Article exhausted; check for reprint
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.- 12 - Data Fusion.- 13 - Interpretation of Hyperspectral Image Data.- 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 Matrix Transpose.- C.7 Diagonalisation of a Matrix.- References for Appendix C.- Appendix D - Some Fundamental Material from Probability and Statistics.- D.1 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.