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 downloadable resources 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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CD-ROM