Digital Analysis of Remotely Sensed Imagery

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May 1, 2009


Electronic book text, 674 pages

Other Formats


0071604669 / 9780071604666

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Main description

An important text that identifies and introduces new trends in image analysis

Digital Analysis of Remotely Sensed Imagery provides thorough coverage of the entire process of analyzing remotely sensed data for the purpose of producing accurate representations in thematic map format. Written in easy-to-follow language with minimal technical jargon, 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.

Table of contents

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

Author comments

Jay Gao, Ph.D., lectures on geographic information systems at the University of Auckland's School of Geography, Geology, and Environmental Science. He is also the Auckland branch representative on the council for the New Zealand Geographic Society.

Copyright 2014 McGraw-Hill Global Education Holdings, LLC


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