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Item Details
| Title:
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MULTISPECTRAL SATELLITE IMAGE UNDERSTANDING
FROM LAND CLASSIFICATION TO BUILDING AND ROAD DETECTION |
| By: |
Cem Unsalan, Kim L. Boyer |
| Format: |
Paperback |
| List price:
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£123.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1447126564 |
| ISBN 13: |
9781447126560 |
| Publisher: |
SPRINGER LONDON LTD |
| Pub. date: |
15 July, 2013 |
| Edition: |
2011 ed. |
| Series: |
Advances in Computer Vision and Pattern Recognition |
| Pages: |
186 |
| Description: |
Covering image processing methods for analyzing residential land use, this book combines theoretical framework with practical applications, and describes a high resolution system for effective detection of single houses, vegetation and shadow-water indices. |
| Synopsis: |
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. |
| Illustrations: |
XVIII, 186 p. |
| Publication: |
UK |
| Imprint: |
Springer London Ltd |
| Returns: |
Returnable |
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