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Multispectral Satellite Image Understanding

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Multispectral Satellite Image Understanding

From Land Classification to Building and Road Detection

Kim L. Boyer, Cem Ünsalan

Springer
Collection: Advances in Computer Vision and Pattern Recognition
Publication date : 2011-05-18

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This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, the book describes a system for the effective detection of single houses and streets in very high resolution. Topics and features: with a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center; provides end-of-chapter summaries and review questions; presents a detailed review on remote sensing satellites; examines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indices; investigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic images; addresses the problem of detecting residential regions; describes a house and street network-detection subsystem; concludes with a summary of the key ideas covered in the book.

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About the book

Author

Kim L. Boyer , Cem Ünsalan

Imprint

Springer

Collection

Advances in Computer Vision and Pattern Recognition

Publication date

2011-05-18

Pages

186 pages

Print ISBN

9780857296665

Language

English

Ebook informations

EAN EPUB

9780857296672

Price

£112.00

Copy count 1

Print count 18

File size 6298 Ko

Informations accessibility

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About author(s)

Kim L. Boyer

Cem Ünsalan

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