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Titlebook: Headway in Spatial Data Handling; 13th International S Anne Ruas (Dr.),Christopher Gold (Dr.) Conference proceedings 2008 Springer-Verlag B

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Implicit Spatial Information Extraction from Remote Sensing Images, it through (semi-) structured descriptors. These descriptors enable to manage in a unified representation two families of features extracted from the objects identified by image segmentation: the attributes characterizing each object, and the attributes characterizing relationships between objects.
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The Application of the Concept of Indicative Neighbourhood on Landsat ETM + Images and Orthophotos ithin several kernel radii, in order to recognize three different variables: multinomial—forest stand type (deciduous, coniferous, mixed), numerical—forest stand coverage, binomial—the presence/absence of orchid species .. Case-based iterative weighting of observations and their features in the soft
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Sensitivity of the C-band SRTM DEM Vertical Accuracy to Terrain Characteristics and Spatial Resoluturacy as a function of both topography and Land-Use/Land Cover (LULC). Absolute vertical errors appear LULC-dependent, with some values greater than the stated accuracy of the SRTM dataset, mostly over forested areas. The results show that the structure of the errors is well modeled by a cosine powe
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Toward a Method to Generally Describe Physical Spatial Processes,he static description of properties in space and do not systematically support processes. A general method to describe spatial processes is a prerequisite to including processes in GIS software. This paper outlines an attempt to a general and application independent method to describe processes, lim
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An Interoperable Web Service Architecture to Provide Base Maps Empowered by Automated Generalisatioeroperable architecture is a key requirement. It integrates the necessary data and the functionality to finally perform the generation of the base map. Additionally, interoperability increases the reuse of the architecture for other domains. In this paper we will describe such an architecture. It ha
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Combining Three Multi-agent Based Generalisation Models: AGENT, CartACom and GAEL,mplementary models of generalisation, all based on the multi-agent paradigm. These models are respectively well adapted for the generalisation of urban spaces (AGENT model), rural spaces (CARTACOm model) and background themes (GAEL model). In these models, the geographic objects are modelled as agen
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