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Digital Analysis of Remotely Sensed Imagery by Jay Gao: New

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Publication Date
2009-01-01
Pages
674
ISBN
9780071604659
Book Title
Digital Analysis of Remotely Sensed Imagery
Publisher
Mcgraw-Hill Education
Item Length
9.1 in
Publication Year
2009
Format
Hardcover
Language
English
Illustrator
Yes
Item Height
1.6 in
Author
Jay Gao
Genre
Photography, Technology & Engineering
Topic
Techniques / Digital (See Also Computers / Digital Media / Photography), General, Remote Sensing & Geographic Information Systems, Subjects & Themes / Aerial
Item Weight
37.1 Oz
Item Width
6.3 in
Number of Pages
674 Pages

About this product

Product Information

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Explore the Latest Techniques and Trends in Remotely Sensed Digital Image Analysis! Written in easy-to-follow language with a minimum of technical jargon, Digital Analysis of Remotely Sensed Imagery provides exhaustive coverage of the entire process of analyzing remotely sensed data for the purpose of producing accurate representations in thematic map format. The book explores cutting-edge techniques and trends in image analysis, as well as the relationship between image processing and other recently emerged special technologies. Filled with numerous references to the current literature, this essential imaging resource paints a vivid picture of the current status of innovative image analysis methods and future directions in the field. Find state-of-the-art information on storage of remotely sensed data...the image analysis system...image rectification...image enhancement...image classification...accuracy assessment...change detection...intelligent image classification...decision tree classification...integration of image analysis with GIS/GPS...and much more. Digital Analysis of Remotely Sensed Imagery features: Comprehensive, up-to-date coverage of remotely sensed image processing Details on the relationship between image processing and other recently emerged special technologies Promising new trends and future directions in image analysis A lavish 16-page color insert Inside this Expert Guide to Analyzing Remotely Sensed Images * Remotely sensed data * Storage of remotely sensed data * The image analysis system * Image rectification * Image enhancement * Image classification * Accuracy assessment * Change detection * Intelligent image classification * Decision tree classification * Innovative image classification * Integration of image analysis with GIS/GPS

Product Identifiers

Publisher
Mcgraw-Hill Education
ISBN-10
0071604650
ISBN-13
9780071604659
eBay Product ID (ePID)
70413966

Product Key Features

Book Title
Digital Analysis of Remotely Sensed Imagery
Number of Pages
674 Pages
Language
English
Publication Year
2009
Topic
Techniques / Digital (See Also Computers / Digital Media / Photography), General, Remote Sensing & Geographic Information Systems, Subjects & Themes / Aerial
Illustrator
Yes
Genre
Photography, Technology & Engineering
Author
Jay Gao
Format
Hardcover

Dimensions

Item Height
1.6 in
Item Weight
37.1 Oz
Item Length
9.1 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
22
Lccn
2008-048597
LeafCats
2228, 378
Dewey Decimal
938.07
Lc Classification Number
G70.4.G36 2009
Table of Content
Preface Acknowledgments Chapter 1. Overview Chapter 2. Overview of Remotely Sensed Data Chapter 3. Storage of Remotely Sensed Data Chapter 4. Image Processing Systems Chapter 5. Image Geometric Rectification Chapter 6. Image Enhancement Chapter 7. Spectral Image Analysis Chapter 8. Neural Network Image Analysis Chapter 9. Decision Tree Image Analysis Chapter 10. Spatial Image Analysis Chapter 11. Intelligent Image Analysis Chapter 12. Classification Accuracy Assessment Chapter 13. Multitemporal Image Analysis Chapter 14. Integrated Image Analysis Index
Copyright Date
2009

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Alibris, Inc.
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