Remote Sensing Digital Image Analysis

1. Front Matter

   Pages I-XVII

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2. Sources and Characteristics of Remote Sensing Image Data

   • John A. Richards

   Pages 1-32

3. Error Correction and Registration of Image Data

   • John A. Richards

   Pages 33-68

4. The Interpretation of Digital Image Data

   • John A. Richards

   Pages 69-82

5. Radiometric Enhancement Techniques

   • John A. Richards

   Pages 83-106

6. Geometric Enhancement Using Image Domain Techniques

   • John A. Richards

   Pages 107-126

7. Multispectral Transformations of Image Data

   • John A. Richards

   Pages 127-147

8. Fourier Transformation of Image Data

   • John A. Richards

   Pages 148-172

9. Supervised Classification Techniques

   • John A. Richards

   Pages 173-189

10. Clustering and Unsupervised Classification

    • John A. Richards

    Pages 190-205

11. Feature Reduction

    • John A. Richards

    Pages 206-224

12. Image Classification Methodologies

    • John A. Richards

    Pages 225-250

13. Back Matter

    Pages 251-281

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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.

• Analysis
• Fernerkundung
• digital image processing
• digitale Bildverarbeitung
• information
• remote sensing
• water quality and water pollution
• air pollution and air quality

• Centre for Remote Sensing, and School of Electrical Engineering and Computer Science, University of New South Wales, Kensington, Australia

  John A. Richards

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