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Remote Sensing Digital Image Analysis

An Introduction

  • Textbook
  • © 1993

Overview

Authors:
  1. John A. Richards

    1. Department of Electrical Engineering, University College, The University of New South Wales, Australian Defence Force Academy, Campbell, Australia

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Table of contents (12 chapters)

  1. Front Matter

    Pages I-XX
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  2. Sources and Characteristics of Remote Sensing Image Data

    • John A. Richards
    Pages 1-37

  3. Error Correction and Registration of Image Data

    • John A. Richards
    Pages 39-74

  4. The Interpretation of Digital Image Data

    • John A. Richards
    Pages 75-88

  5. Radiometric Enhancement Techniques

    • John A. Richards
    Pages 89-112

  6. Geometric Enhancement Using Image Domain Techniques

    • John A. Richards
    Pages 113-132

  7. Multispectral Transformations of Image Data

    • John A. Richards
    Pages 133-154

  8. Fourier Transformation of Image Data

    • John A. Richards
    Pages 155-179

  9. Supervised Classification Techniques

    • John A. Richards
    Pages 181-227

  10. Clustering and Unsupervised Classification

    • John A. Richards
    Pages 229-244

  11. Feature Reduction

    • John A. Richards
    Pages 245-263

  12. Image Classification Methodologies

    • John A. Richards
    Pages 265-291

  13. Knowledge-Based Image Analysis

    • John A. Richards
    Pages 293-306

  14. Back Matter

    Pages 307-340
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Keywords

About this book

Possibly the greatest change confronting the practitioner and student of remote sensing in the period since the first edition of this text appeared in 1986 has been the enormous improvement in accessibility to image processing technology. Falling hardware and software costs, combined with an increase in functionality through the development of extremely versatile user interfaces, has meant that even the user unskilled in computing now has immediate and ready access to powerful and flexible means for digital image analysis and enhancement. An understanding, at algorithmic level, of the various methods for image processing has become therefore even more important in the past few years to ensure the full capability of digital image processing is utilised. This period has also been a busy one in relation to digital data supply. Several nations have become satellite data gatherers and providers, using both optical and microwave technology. Practitioners and researchers are now faced, therefore, with the need to be able to process imagery from several sensors, together with other forms of spatial data. This has been driven, to an extent, by developments in Geographic Information Systems (GIS) which, in tum, have led to the appearance of newer image processing procedures as adjuncts to more traditional approaches.

Authors and Affiliations

  • Department of Electrical Engineering, University College, The University of New South Wales, Australian Defence Force Academy, Campbell, Australia

    John A. Richards

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