CiNii 図書 - Multispectral satellite image understanding : from land classification to building and road detection

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.

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

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Multispectral satellite image understanding : from land classification to building and road detection

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