Digital Analysis of Remotely Sensed Imagery

by Jay Gao

Overview

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.

Product Details

ISBN-13:	9780071604666
Publisher:	McGraw Hill LLC
Publication date:	05/01/2009
Sold by:	Barnes & Noble
Format:	eBook
Pages:	674
File size:	17 MB
Note:	This product may take a few minutes to download.

About the Author

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.

Table of Contents

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