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Multispectral Image Analysis Using the ObjectOriented Paradigm (Remote Sensing Applications Series),Used
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Bringing a fresh new perspective to remote sensing, objectbased image analysis is a paradigm shift from the traditional pixelbased approach. Featuring various practical examples to provide understanding of this new modus operandi, Multispectral Image Analysis Using the ObjectOriented Paradigm reviews the current image analysis methods and demonstrates advantages to improve information extraction from imagery.This reference describes traditional image analysis techniques, introduces objectoriented technology, and discusses the benefits of objectbased versus pixelbased 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 ObjectOriented Paradigm distills new tools to extract information from remotely sensed data.
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