Remote Sensing Digital Image Analysis: An Introduction

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Springer Science & Business Media, Jan 16, 2006 - Technology & Engineering - 439 pages
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Remote Sensing Digital Image Analysis provides the non-specialist with 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. Problems conclude each chapter. This fourth edition has been developed to reflect the changes that have occurred in this area over the past several years. Its focus is on those procedures that seem now to have become part of the set of tools regularly used to perform thematic mapping. As with previous revisions, the fundamental material has been preserved in its original form because of its tutorial value; its style has been revised in places and it has been supplemented if newer aspects have emerged in the time since the third edition appeared. It still meets, however, the needs of the senior student and practitioner.

 

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very good for students

Contents

Sources and Characteristics of Remote Sensing Image Data
1
Error Correction and Registration of Image Data
27
The Interpretation of Digital Image Data 67
66
Radiometric Enhancement Techniques
83
Geometric Enhancement Using Image Domain Techniques
109
Multispectral Transformations of Image Data
137
Fourier Transformation of Image Data 165
164
3
185
Clustering and Unsupervised Classification
249
Feature Reduction
267
Image Classification Methodologies
295
Multisource Multisensor Methods
333
Interpretation of Hyperspectral Image Data 359
358
A Missions and Sensors
389
B Satellite Altitudes and Periods
413
E Some Fundamental Material from Probability and Statistics
423

Supervised Classification Techniques
193
9
195
F Penalty Function Derivation
427
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About the author (2006)

Richards, University of New South Wales, Australia.