- Full Description
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 Contents
Table of Contents
- 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.