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Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection
Cem Ünsalan
(Author)
·
Kim L. Boyer
(Author)
·
Springer
· Paperback
Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection - Ünsalan, Cem ; Boyer, Kim L.
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Synopsis "Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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