Geo-information Management

The contribution deals with the contextual design of spatial data for the purposes of the regional development, land management and government, describes the role of remote sensing data and contextual modelling for the context oriented geo-information and tries to provide the framework for the object hierarchy of classes and propose the ways of structure and behaviour modelling. The digital geographic databases are rapidly growing and the problem has shifted from finding the data to finding meaningful geographic information or better knowledge from the large volumes of data. GIS technology is changing to GIM technology (Geographical Information Management). Many users have their own specific requirements for the access to data, with regards to the administrative units where the evaluation is provided and considered the relations and contextual and temporal background for the data processing. Object-oriented image analysis is based on an object-oriented approach to image analysis. In contrast to the classical image processing method, the basic processing units are image objects or segments. Further motivation for the object-oriented approach is the fact that the expected result of most image analysis tasks is a set of real world objects. The topological relations of single or adjacent pixels are given by the raster implicitly. The increasing resolution of the sources results in the increasing number of objects of course and moreover the complexity of object structuring hierarchy is rapidly growing too. The automation of the classification and interpretation process gives better results when the fuzzy elements are implemented.