Computer Processing of Remotely-Sensed Images: An Introduction, 3rd Edition
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Average customer review:Product Description
Remotely–sensed images of the Earth′s surface provide a valuable source of information about the geographical distribution and properties of natural and cultural features. This fully revised and updated edition of a highly regarded textbook deals with the mechanics of processing remotely–senses images. Presented in an accessible manner, the book covers a wide range of image processing and pattern recognition techniques. Features include:
- New topics on LiDAR data processing, SAR interferometry, the analysis of imaging spectrometer image sets and the use of the wavelet transform.
- An accompanying CD–ROM with:
- updated MIPS software, including modules for standard procedures such as image display, filtering, image transforms, graph plotting, import of data from a range of sensors.
- A set of exercises, including data sets, illustrating the application of discussed methods using the MIPS software.
- An extensive list of WWW resources including colour illustrations for easy download.
For further information, including exercises and latest software information visit the Author′s Website at: http://homepage.ntlworld.com/paul.mather/ComputerProcessing3/
Product Details
- Amazon Sales Rank: #369369 in Books
- Published on: 2004-04-27
- Original language: English
- Number of items: 1
- Binding: Paperback
- 442 pages
Editorial Reviews
Review
"...a stand–alone introduction to image processing..."
––Geography, October 2000
"The first edition of this book was very successful and I would anticipate that this success will continue to be enjoyed by this new edition."
––International Journal of Remote Sensing, Vol 22/7, 2001
International Journal of Remote Sensing, Vol 22/7, 2001
"The first edition of this book was very successful and I would anticipate that this success will continue to be enjoyed by this new edition."
From the Back Cover
Remotely–sensed images of the Earth’s surface provide information about the geographical distribution and properties of natural and cultural features. Computer processing takes place after the images have been collected, and depends on their physical properties and the applications for which they will be used. Computer Processing of Remotely–Sensed Images is the third edition of this highly regarded textbook.
This fully revised and updated edition deals with the mechanics of processing remotely–sensed images. Presented in an accessible manner, this book covers a wide range of image processing and pattern recognition techniques. A number of examples are included on the accompanying CD to illustrate the practical use of specific techniques. New topics include LiDAR data processing, SAR interferometry, the analysis of imaging spectrometer image sets and the use of the wavelet transform.
The accompanying CD–ROM has been further developed to include:
- Updated MIPS software, including modules for standard procedures such as image display, filtering, image transforms, graph plotting, import of data from a range of sensors.
- A set of exercises, including data sets, (contributed by Dr M. Koch, Center for Remote Sensing, Boston University) illustrating the application of discussed methods using the MIPS software.
- An extensive list of WWW resources including colour illustrations for easy download.
This is an essential textbook for upper level undergraduate and Masters students taking courses in Remote Sensing, in departments of Geography, Earth and Environmental Science. Researchers and professionals working on the processing and classification of with remotely–sensed data, will also greatly benefit from the guidance contained in this text.
Customer Reviews
A wholesome text for undergraduates to cut their teeth on
All too often I find that remote sensing publications aimed at the undergraduate level lack a good command of the basic principles and techniques of image processing. This text, coupled with the updated software on CD, provides ample information and examples to supplement the currently impoverished state of undergraduate image processing reading lists. I would also recommend Robert A. Schowengerdt's book: "Remote Sensing: Models and Methods for Image Processing" for further reference.



