Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection

di Cem Ünsalan (Autore)

Kim L. Boyer (Autore)

Springer London Ltd, 2013

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.

• Autore: Cem Ünsalan, Kim L. Boyer
• Editore: Springer London Ltd
• Collana: Advances in Computer Vision and Pattern Recognition
• Anno: 2013
• Rilegatura: Paperback / softback
• Pagine: 186 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781447126560

Testo in English