Description
Multispectral Image Analysis Using the Object-Oriented Paradigm
Remote Sensing Applications Series
Author: Navulur Kumar
Language: EnglishSubjects for Multispectral Image Analysis Using the Object-Oriented...:
Keywords
Object Oriented Paradigm; color; Membership Function; figure; Supervised Classification; segmentation; Feature Space Optimization; impervious; Data Sets; surface; Accuracy Assessment; supervise; Image Segmentation; classification; Mage; thematic; NDVI; map; Color Figure; remote; Thematic Accuracy Assessment; Pan Spot; NIR Band; Tassel Cap Transformation; Classification Accuracy Estimates; Radiometric Range; Pixel Based Image Analysis; RGB Format; Thematic Layer; Ancillary Data Sets; Tassel Cap; VNIR Range; Aerial Industry; Minimum Mapping Unit; Pixel DN Value
Publication date: 03-2020
· 15.6x23.4 cm · Paperback
Publication date: 12-2006
184 p. · 15.6x23.4 cm · Hardback
Description
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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 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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