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Titlebook: Object-Based Image Analysis; Spatial Concepts for Thomas Blaschke (Prof.),Stefan Lang (Dr.),Geoffrey Book 20081st edition Springer-Verlag B

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楼主: 天真无邪
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ährend erste konzeptionelle wie empirische Arbeiten hierzu vorliegen, sind wir von einem umfassenden Verständnis, welche Veränderungen auf die IT-Anbieter zukommen und wie sie hierauf reagieren, noch weit entfernt. Hier möchten wir ansetzen und mit unserem vorliegenden Beitrag zur Schließung dieser
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1863-2246 multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).978-3-662-50146-7978-3-540-77058-9Series ISSN 1863-2246 Series E-ISSN 1863-2351
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Object-based image analysis for remote sensing applications: modeling reality – dealing with complexhe chapter closes with a short reflection on the required adaptation of standard methods of accuracy assessment and change detection, as well as on the evaluation of delineated and classified objects against the ultimate benchmark, our human perception.
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An object-based cellular automata model to mitigate scale dependencyessed as a change of state in part or in totality of its surface, based on the influence of its respective neighbors. The implementation and testing of this model on real data reveals that it generates spatial configurations of landscape patches that are more realistic than the conventional raster-b
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Domain-specific class modelling for one-level representation of single treespendently to perform domain-specific class modelling (i.e. the characteristics of each region controlled the generation of lower level objects). The class modelling was undertaken using Cognition Network Language (CNL), which allows for addressing single objects and enables supervising the object ge
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