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  • Textbook
  • © 2013

Remote Sensing Digital Image Analysis

An Introduction

Authors:

  • Comprehensive treatment of the entire spectrum of acquisition, analysis and processing of remotely sensed data

  • Completely revised and enlarged to reflect new developments in the field

  • Problems are given at the end of each chapter

  • Includes supplementary material: sn.pub/extras

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xix
  2. Correcting and Registering Images

    • John A. Richards
    Pages 27-77
  3. Interpreting Images

    • John A. Richards
    Pages 79-97
  4. Radiometric Enhancement of Images

    • John A. Richards
    Pages 99-125
  5. Spectral Domain Image Transforms

    • John A. Richards
    Pages 161-201
  6. Spatial Domain Image Transforms

    • John A. Richards
    Pages 203-246
  7. Supervised Classification Techniques

    • John A. Richards
    Pages 247-318
  8. Clustering and Unsupervised Classification

    • John A. Richards
    Pages 319-341
  9. Feature Reduction

    • John A. Richards
    Pages 343-380
  10. Image Classification in Practice

    • John A. Richards
    Pages 381-435
  11. Multisource Image Analysis

    • John A. Richards
    Pages 437-464
  12. Back Matter

    Pages 465-494

About this book

Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same.  This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data.
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 processing 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. 

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.

Authors and Affiliations

  • Engineering (RSISE), Australian National University Res. School of Information Sciences &, Canberra, Australia

    John A. Richards

About the author

John Richards has been active in remote sensing research for the past 30 years, mainly in image analysis and imaging radar and 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.   John was 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.  John is an Emeritus Professor of both the Australian National University and the University of New South Wales.

Bibliographic Information

Buy it now

Buying options

eBook USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access