Multispectral Satellite Image Understanding
From Land Classification to Building and Road Detection| By: | Cem Ünsalan; Kim L. Boyer |
| Publisher: | Springer Nature |
| Print ISBN: | 9780857296665 |
| eText ISBN: | 9780857296672 |
| Edition: | 0 |
| Copyright: | 2011 |
| Format: | Reflowable |
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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.