Introductory Digital Image Processing: A Remote Sensing Perspective (2nd Edition) (Hardcover)

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Product Description

Explains how to apply digital image processing techniques to remotely sensed imagery, and how to obtain useful results and information during this process. It assumes a course in introductory remote sensing or air photo interpretation, college algebra, and basic statistics.

From the Publisher

This text focuses exclusively on the art and science of digital image processing of satellite and aircraft-derived remotely-sensed data for resource management. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.

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Product Details

• Hardcover: 316 pages
• Publisher: Prentice Hall; 2 edition (August 25, 1995)
• Language: English
• ISBN-10: 0132058405
• ISBN-13: 978-0132058407
• Product Dimensions: 10.9 x 8.4 x 0.8 inches
• Shipping Weight: 2.3 pounds (View shipping rates and policies)
• Average Customer Review: 3.6 out of 5 stars  See all reviews (5 customer reviews)
• Amazon.com Sales Rank: #738,069 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

7 of 7 people found the following review helpful:

3.0 out of 5 stars Not enough content to warrant the high price, August 18, 2006

By	calvinnme "Texan refugee" (Fredericksburg, Va) - See all my reviews (TOP 10 REVIEWER)

This review is from: Introductory Digital Image Processing (3rd Edition) (Hardcover)

This updated edition of the digital image processing text geared towards satellite-derived remotely sensed data has some good content, but like previous editions it is much too expensive for what you ultimately receive. For general digital image processing and its algorithms I really think that "Digital Image Processing" by Gonzalez and Woods provides much more quality for a lower price. Granted, this book has some GIS specific information in it that other books don't have, but I don't think that this warrants the huge price tag. The presentation is not particularly compelling either. Quite a bit of room is taken up with large tables and sample imagery rather than instruction and algorithm details. I would really suggest that someone interested in the specific problems of processing satellite imagery look at some of the online resources for the pre-processing issues unique to this field, and then look at the Gonzalez and Woods book for a much better explanation of digital image processing in general, including the pattern recognition issues of the later chapters of this book that I think are particularly poorly explained. The table of contents is as follows:

1. Remote Sensing and Digital Image Processing
2. Remote Sensing Data Collection
3. Digital Image Processing Hardware and Software Considerations
4. Image Quality Assessment and Statistical Evaluation
5. Initial Display Alternatives and Scientific Visualization
6. Electromagnetic Radiation Principles and Radiometric Correction
7. Geometric Correction
8. Image Enhancement
9. Thematic Information Extraction: Pattern Recognition
10. Information Extraction Using Artificial Intelligence
11. Thematic Information Extraction: Hyperspectral Image Analysis
12. Digital Change Detection
13. Thematic Map Accuracy Assessment

1 of 1 people found the following review helpful:

4.0 out of 5 stars Nicely Balanced Presentation of a Broad, Complex Topic, December 21, 2007

By	Terry Serres (Minneapolis, MN United States) - See all my reviews

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This review is from: Introductory Digital Image Processing (3rd Edition) (Hardcover)

This is the first textbook in 20 years that I've read cover to cover, and I am glad I did. This is a very solid presentation of the theoretical and practical basics of remote sensing imagery and analysis. Quantitatively, it is not overly simplistic but it doesn't bog down the reader either.

The first chapter draws a strong line in the sand regarding remote sensing as a discipline and the importance of broad knowledge and definite subject matter knowledge in order to apply it effectively. I almost felt that the take-home message was that remote sensing is a *tool* and not a discipline unto itself, to be advanced for its own sake.

Especially helpful is the overview of sensing systems in Chapter 2 -- I was grateful for the chapter's organization and the tables devoted to different systems. I honestly wish the author had given more information on the configuration of different sensor systems and the particulars of signal processing and AD conversion, but it is hard to ascertain whether this information might be in the companion volume (which I do not own).

Also strong is the chapter on image enhancement, although I think that image enhancement for visualization and image enhancement for quantitative interpretation are different enough to warrant separation.

The most recent advances (artificial intelligence and hyperspectral imagery) are dealt with in distinct chapters. One could probably write a whole book on accuracy assessment alone, but the final chapter here is a respectable treatment of the subject.

1.0 out of 5 stars This was not an original copy of the book, March 2, 2009

By	M. Chadwick - See all my reviews (REAL NAME)

This review is from: Introductory Digital Image Processing (3rd Edition) (Hardcover)

This is a remote sensing text book, meaning that the quality of the imagery is very important. The pages in the book are photocopies of the original with a small section of color images inserted in the middle of the book.

I would highly recommend buying this book in person to avoid getting a copy. Or buy directly from the publisher