Multispectral Image Analysis Using the Object-Oriented Paradigm, 1st Edition

.\nBringing 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.\nMultispectral Image Analysis Using the Object-Oriented Paradigm 1st Edition is written by Kumar Navulur and published by CRC Press. ISBNs for Multispectral Image Analysis Using the Object-Oriented Paradigm are 9781040207994, 1040207995 and the print ISBNs are 9780367837846, 0367837846. Additional ISBNs include 9780429146305, 9780367446246, 9781420043075, 9781420043068.