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  • © 2022

Remote Sensing Digital Image Analysis

Authors:

  • Provides comprehensive treatment of entire spectrum of acquisition, analysis, and processing of remotely sensed data
  • Is revised and enhanced to reflect new developments in the field—CNN, big data, etc
  • Contains solved examples and exercises in each chapter for better understanding

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Softcover Book USD 69.99
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  • Dispatched in 3 to 5 business days
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Hardcover Book USD 109.99
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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xx
  2. Correcting and Registering Images

    • John A. Richards
    Pages 31-85
  3. Interpreting Images

    • John A. Richards
    Pages 87-106
  4. Radiometric Enhancement of Images

    • John A. Richards
    Pages 107-134
  5. Spectral Domain Image Transforms

    • John A. Richards
    Pages 171-215
  6. Spatial Domain Image Transforms

    • John A. Richards
    Pages 217-262
  7. Supervised Classification Techniques

    • John A. Richards
    Pages 263-367
  8. Clustering and Unsupervised Classification

    • John A. Richards
    Pages 369-401
  9. Feature Reduction

    • John A. Richards
    Pages 403-446
  10. Image Classification in Practice

    • John A. Richards
    Pages 447-502
  11. Multisource Image Analysis

    • John A. Richards
    Pages 503-531
  12. Back Matter

    Pages 533-567

About this book

Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data.  Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same.  As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing.

The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing.  The presentation level is for the mathematical non-specialist.  Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background.  

The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter.


Authors and Affiliations

  • ANU College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia

    John A. Richards

About the author

John Richards has been active in remote sensing teaching and research for the past 40 years, mainly in image analysis and imaging radar. He is the author of four books, all published by Springer.  He is an electrical engineering graduate from the University of New South Wales, Australia, and a life Fellow of the IEEE.   He was the foundation director of the Centre for Remote Sensing at the University of New South Wales in the 1980s and has had a career that has taken him through teaching and research in remote sensing and engineering.  He has also served in senior academic administration including as dean of the College of Engineering and Computer Science and vice-president of the Australian National University.  He is an emeritus professor of both the Australian National University and the University of New South Wales.


Bibliographic Information

Buy it now

Buying options

Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access