Industrial-Sized Deals Shop all Back to School Shop Women's Handbags Learn more nav_sap_SWP_6M_fly_beacon $5 Albums $5 Off Fire TV Stick Subscribe & Save Shop Popular Services pivdl pivdl pivdl  Amazon Echo Starting at $99 Kindle Voyage Nintendo Digital Games Big Savings in the Amazon Fall Sportsman Event Baby Sale
Remote Sensing Digital Image Analysis and over one million other books are available for Amazon Kindle. Learn more

Remote Sensing Digital Image Analysis: An Introduction 4th Edition

6 customer reviews
ISBN-13: 978-3540251286
ISBN-10: 3540251286
Why is ISBN important?
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Sell yours for a Gift Card
We'll buy it for $2.00
Learn More
Trade in now
Have one to sell? Sell on Amazon
Try the eTextbook for free
Buy used
More Buying Choices
16 New from $58.00 14 Used from $33.50

There is a newer edition of this item:

Free Two-Day Shipping for College Students with Amazon Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student

InterDesign Brand Store Awareness Textbooks

Editorial Reviews

From the Back Cover

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.


Best Books of the Month
Best Books of the Month
Want to know our Editors' picks for the best books of the month? Browse Best Books of the Month, featuring our favorite new books in more than a dozen categories.

Product Details

  • Hardcover: 464 pages
  • Publisher: Springer; 4th edition (December 2, 2005)
  • Language: English
  • ISBN-10: 3540251286
  • ISBN-13: 978-3540251286
  • Product Dimensions: 9.3 x 6.3 x 0.9 inches
  • Shipping Weight: 2.1 pounds
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #2,471,689 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

Most Helpful Customer Reviews

19 of 20 people found the following review helpful By Jorge Lira Chavez on July 18, 2001
Format: Hardcover
The book by John Richards and Xiuping Jia is one of the best introductory books in the field of remote sensing. This work may be used as a textbook in a one semester course. This book is well organized, technically correct, with a reasonable level of mathematics for those new in the field.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
2 of 2 people found the following review helpful By calvinnme HALL OF FAMETOP 1000 REVIEWERVINE VOICE on November 28, 2009
Format: Kindle Edition
This book does not introduce you to image analysis and image processing itself. For that topic, in depth see Digital Image Processing (3rd Edition) for a general text on the subject that is very accessible.

This book looks at problems specific to remotely sensed images and their understanding and shows concrete techniques for solving the problems. It's not just a recipe book as there is a good bit of explanation shown too, but it is not a mathematician's book either. It is a practitioner's book. For example, it deals with statistical methods to deal with striping - the problem that sensors used to collect image data do not have the same response. That is not a topic you'd see in Gonzalez and Woods, but you might see the technique mentioned - histogram matching - and now at last you have a use for it.

The following is the table of contents since it is not listed in the product description:
1. Sources and characteristics of remote sensing image data.
2. Error Correction and Registration of image data.
3. The Interpretation of image data.
4. Radiometric enhancement techniques
5. Geometric enhancement using image domain techniques
6. Multispectral transformations of image data
7. Fourier transformation of image data
8. Supervised classification techniques
9. Clustering and unsupervised classification
10. Feature reduction
11. Image classification methodologies
12. Multisource and multisensor methods
13. Interpretation of hyperspectral image data
A. Missions and sensors
B. Altitudes and periods
C. Binary representation of decimal numbers
Read more ›
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
By T. T. Ramah on January 22, 2010
Format: Hardcover Verified Purchase
This is a must read for anyone interested (and serious) in remote sensing and digital image analysis. This is not as an introductory book as it claims to be so be aware of that, and some chapters requires a good understanding of math (algebra). If you are advanced in RS then get this book as reference, you won't regret it.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
Want to discover more products? Check out these pages to see more: physical science, telecommunications