Multispectral satellite image understanding: from land classification to building and road detection
Ünsalan, Cem
Boyer, Kim L.
This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical frameworkwith 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. Provides in-depth coverage of novel computer vision methods for remote sensing applications. Includes end-of-chapter summaries and review questions. With a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center. INDICE: Introduction. Part I: Sensors. Remote Sensing Satellites and Airborne Sensors. Part II: The Multispectral Information. Linearized Vegetation Indices. Linearized Shadow and Water Indices. Part III: Land Use Classification. Review on Land Use Classification. Land Use Classification using Structural Features. Land Use Classification via Multispectral Information. Graph Theoretical Measures for Land Development. Part IV: Extracting Residential Regions. Feature Based Grouping to Detect Suburbia. Detecting Residential Regions by GraphTheoretical Measures. Part V: Building and Road Detection. Review on Buildingand Road Detection. House and Street Network Detection in Residential Regions. Part VI: Summarizing the Overall System. Final Comments.
- ISBN: 978-0-85729-666-5
- Editorial: Springer London
- Encuadernacion: Cartoné
- Páginas: 185
- Fecha Publicación: 20/05/2011
- Nº Volúmenes: 1
- Idioma: Inglés