Multispectral Image Analysis Using the Object-Oriented Paradigm: Remote Sensing Applications Series
Autor Kumar Navuluren Limba Engleză Paperback – 5 mar 2020
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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Specificații
ISBN-13: 9780367446246
ISBN-10: 0367446243
Pagini: 204
Ilustrații: 234
Dimensiuni: 156 x 234 mm
Greutate: 0.37 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Remote Sensing Applications Series
ISBN-10: 0367446243
Pagini: 204
Ilustrații: 234
Dimensiuni: 156 x 234 mm
Greutate: 0.37 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Remote Sensing Applications Series
Public țintă
ProfessionalCuprins
Introduction. Multispectral Remote Sensing Sensors. Why an Object Oriented Approach? Creating Objects. Object-Based Image Analysis. Advanced Object Image Analysis. Accuracy Assessment References.
Recenzii
". . . Navulur’s book makes a valuable contribution because it offers a well-organized reference to contemporary developments in object-oriented image analysis, along with various creative ideas for implementation of these methods in practical solutions."
– Matthew Ramspott, Department of Geography, Frostburg State University, in Photogrammetric Engineering & Remote Sensing, September 2007, Vol. 73, No. 9
– Matthew Ramspott, Department of Geography, Frostburg State University, in Photogrammetric Engineering & Remote Sensing, September 2007, Vol. 73, No. 9
Descriere
Featuring various hands-on examples to provide understanding of this new approach, Multispectral Image Analysis Using the Object-Oriented Paradigm shows how to extract information from remotely sensed data for applications in agriculture, visual simulation, civil government mapping, forestry, fire risk assessment, and more. This bo