Multispectral Satellite Image Understanding (eBook)
XVIII, 186 Seiten
Springer London (Verlag)
978-0-85729-667-2 (ISBN)
Rapid development of remote sensing technology in recent years has greatly increased availability of high-resolution satellite image data. However, detailed analysis of such large data sets also requires innovative new techniques in image and signal processing.This important text/reference 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, making use of both well-known methods and cutting-edge techniques in computer vision, 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.This pioneering work on automated satellite and aerial image-understanding systems will be of great interest to researchers in both remote sensing and computer vision, highlighting the benefit of interdisciplinary collaboration between the two communities. Urban planners and policy makers will also find considerable value in the proposed system.
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
Erscheint lt. Verlag | 18.5.2011 |
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Reihe/Serie | Advances in Computer Vision and Pattern Recognition | Advances in Computer Vision and Pattern Recognition |
Zusatzinfo | XVIII, 186 p. |
Verlagsort | London |
Sprache | englisch |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
Schlagworte | Building Detection • Change Grading • computer vision • Land Use Classification • Remote Sensing • Road Detection • Satellite images • Vegetation Indices |
ISBN-10 | 0-85729-667-1 / 0857296671 |
ISBN-13 | 978-0-85729-667-2 / 9780857296672 |
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