Nanno J. Mulder

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This paper's origin is to reach for a way for automatic initiation of shape hypothesis for Model Based Image Analysis (MBIA) in the specific case of agricultural fields. A solution is to start with local (topological) hypotheses. The topological data are integrated from local topology to the level of real 2-dimensional objects. The method requires(More)
In the context of the analysis of remotely sensed data the question arises of how to analyze large volumes of data. In the specific case of agricultural fields in flat areas these fields can often be modeled in terms of geometric primitives such as triangles and rectangles. In this case the options are classical i.e. bottom-up, starting at the pixel level(More)
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