Editors:
Discusses means, technologies and approaches related to the processing and analysis of multi-sensor, multi-resolution data with a focus on the generation, modelling and classification of objects
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Geoinformation and Cartography (LNGC)
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Table of contents (43 chapters)
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Front Matter
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Why object-based image analysis
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Front Matter
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Multiscale representation and object-based classification
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Front Matter
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Automated classification, mapping and updating: forest
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Front Matter
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About this book
Keywords
- Change detection
- GIS
- Geoinformationssysteme
- IKONOS
- Monitoring
- Object-based image analysis
- classification
- digital elevation model
- ecosystem
- geoinformatics
- image analysis
- image processing
- remote sensing
- satellite
- vegetation
- remote sensing/photogrammetry
- landscape/regional and urban planning
Editors and Affiliations
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Universität Salzburg Zentrum für Geoinformatik, 5020 Salzburg, Austria
Thomas Blaschke, Stefan Lang
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Foothills Facility for Remote Sensing & GIScience, University of Calgary, Calgary T2N 1N4, Canada
Geoffrey J. Hay
Bibliographic Information
Book Title: Object-Based Image Analysis
Book Subtitle: Spatial Concepts for Knowledge-Driven Remote Sensing Applications
Editors: Thomas Blaschke, Stefan Lang, Geoffrey J. Hay
Series Title: Lecture Notes in Geoinformation and Cartography
DOI: https://doi.org/10.1007/978-3-540-77058-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-77057-2Published: 17 July 2008
Softcover ISBN: 978-3-662-50146-7Published: 30 April 2017
eBook ISBN: 978-3-540-77058-9Published: 09 August 2008
Series ISSN: 1863-2246
Series E-ISSN: 1863-2351
Edition Number: 1
Number of Pages: XVII, 817
Topics: Geographical Information System, Geophysics, Computer Communication Networks, Computer Vision, Human Geography