Multispectral Image Analysis Using the Object-Oriented Paradigm (Paperback)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Remote Sensing Applications Series
Release date:	March 2020
First published:	2007
Authors:	Kumar Navulur
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	204
ISBN-13:	978-0-367-44624-6
Categories:	Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	0-367-44624-3
Barcode:	9780367446246

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