Object-based image analysis: spatial concepts for knowledge-driven remote sensing applications

The book addresses the Geogpraphic Information Systems (GIS) and Remote Sensing (RS) communities worldwide. It bridges these two formally distinct audiences and sub-disciplines of GIScience by integrating spatial concepts and analysis/modelling techniques into the spectral domain of remote sensing. This is accomplished by (1) obtaining scale-specific representations of an imaged scene via multi-scale segmentation and (2) categorization of the created units according to their spectral and spatial properties. Regionalization is deeply rootedin many disciplines studying a wide range of issues by utilizing the spatial perspective. Regions are one way to organize and simplify this vast amount of information. Usually, regions are "made-up" of humans but with increasing planning needs and the wide use of Geographic Information Systems, the concept of discretization of space is gaining importance. 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 INDICE: Why object-based image analysis.- Multiscale representation and object-based classification.- Automated classification, mapping and updating: forest.- Automated classification, mapping and updating: environmental resource management and agriculture.- Automated classification, mapping and updating: land use/land cover.- Automated classification, mapping and updating: urban applications.- Development of new methodologies.- Burning research questions, research needs and outlook.- Index.

• ISBN: 978-3-540-77057-2
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 800
• Fecha Publicación: 01/08/2008
• Nº Volúmenes: 1
• Idioma: Inglés