IntroductionPart I: SensorsRemote Sensing Satellites and Airborne SensorsPart II: The Multispectral InformationLinearized Vegetation IndicesLinearized Shadow and Water IndicesPart III: Land Use ClassificationReview on Land Use ClassificationLand Use Classification using Structural FeaturesLand Use Classification via Multispectral InformationGraph Theoretical Measures for Land DevelopmentPart IV: Extracting Residential RegionsFeature Based Grouping to Detect SuburbiaDetecting Residential Regions by Graph Theoretical MeasuresPart V: Building and Road DetectionReview on Building and Road DetectionHouse and Street Network Detection in Residential RegionsPart VI: Summarizing the Overall SystemFinal Comments
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.
Provides in-depth coverage of novel computer vision methods for remote sensing applicationsIncludes end-of-chapter summaries and review questionsWith a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center