9780857296665 - Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection di Boyer, Kim L.; Ünsalan, Cem (18 risultati)

Condizione: New. In.

Condizione: New.

Condizione: New.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 CenterProvides end-of-chapter summaries and review questionsPresents a detailed review on remote sensing satellitesExamines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indicesInvestigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic imagesAddresses the problem of detecting residential regionsDescribes a house and street network-detection subsystemConcludes with a summary of the key ideas covered in the bookThis 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.Dr. Cem Ünsalan is an Associate Professor in the Department of Electrical and Electronics Engineering at Yeditepe University, Istanbul, Turkey. Dr. Kim Boyer is Professor and Head of the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, Troy, NY, USA.

Condizione: New. pp. 204.

Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Like New. Like New. book.

Hardcover. Condizione: Brand New. 202 pages. 9.00x6.00x0.75 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 CenterProvides end-of-chapter summaries and review questionsPresents a detailed review on remote sensing satellitesExamines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indicesInvestigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic imagesAddresses the problem of detecting residential regionsDescribes a house and street network-detection subsystemConcludes with a summary of the key ideas covered in the bookThis 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.Dr. Cem Ünsalan is an Associate Professor in the Department of Electrical and Electronics Engineering at Yeditepe University, Istanbul, Turkey. Dr. Kim Boyer is Professor and Head of the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, Troy, NY, USA. 204 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 CenterThis book pre.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Buch. Condizione: Neu. Multispectral Satellite Image Understanding | From Land Classification to Building and Road Detection | Cem Ünsalan (u. a.) | Buch | Advances in Computer Vision and Pattern Recognition | xviii | Englisch | 2011 | Springer | EAN 9780857296665 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch.

Condizione: New. Print on Demand pp. 204 63 Illus. (27 Col.).

Condizione: New. PRINT ON DEMAND pp. 204.