Multispectral Image Analysis Using the Object-Oriented Paradigm

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CRC Press, Dec 5, 2006 - Technology & Engineering - 184 pages
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Bringing a fresh new perspective to remote sensing, object-based image analysis is a paradigm shift from the traditional pixel-based approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the Object-Oriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information extraction from imagery.

This reference describes traditional image analysis techniques, introduces object-oriented technology, and discusses the benefits of object-based versus pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques for object classification. The author covers image enhancement methods, how to use ancillary data to constrain image segmentation, and concepts of semantic grouping of objects. He concludes by addressing accuracy assessment approaches. The accompanying two CD-ROMs present sample data that enable the use of different approaches to problem solving.

Integrating remote sensing techniques and GIS analysis, Multispectral Image Analysis Using the Object-Oriented Paradigm distills new tools to extract information from remotely sensed data.
 

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Contents

Chapter 1 Introduction
1
Chapter 2 Multispectral Remote Sensing
5
Chapter 3 Why an ObjectOriented Approach?
15
Chapter 4 Creating Objects
19
Chapter 5 ObjectBased Image Analysis
47
Chapter 6 Advanced Object Image Analysis
109
Chapter 7 Accuracy Assessment
141
References
151
Index
155
Related Titles
165
Back cover
191
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