Multispectral Satellite Image Understanding

From Land Classification to Building and Road Detection
2011
ISBN: 978-0-85729-666-5
Verlag: Springer

Buch, Englisch, 186 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 477 g

Reihe: Advances in Computer Vision and Pattern Recognition

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.

Zielgruppe

Research

Autoren/Hrsg.

Boyer, Kim L.

Ünsalan, Cem

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Satellitenkommunikation, Satellitentechnik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Geowissenschaften Geologie GIS, Geoinformatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

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