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.
Table of Content
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 Graph Theoretical Measures.- Part V: Building and Road Detection.- Review on Building and Road Detection.- House and Street Network Detection in Residential Regions.- Part VI: Summarizing the Overall System.- Final Comments.
