Abstract
Three dimensional object extraction and recognition (OER) from geographic data has been one of most important topics in photogrammetry for a long time. Today, the capability of being able to rapidly generate high-density DSM increases the provision of geographic information. However the discrete nature of the measuring makes it more difficult to correctly recognize and extract 3D objects from these surfaces. The proposed methodology wants to semi-automate some of the operations required for clustering of geographic objects, in order to perform the recognition process. Fuzzy logic allows using, in a mathematical process the uncertain information typical of human reasoning. In this paper we present an approach for detecting objects based on fuzzy logic. In a first phase only the structural information are extracted and integrated in the fuzzy reasoning process in order to have a more generic treatment. The recognition algorithm has been tested with different data sets and different objectives.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Prandi, F., Brumana, R. (2010). Semi-automatic Objects Recognition Process Based on Fuzzy Logic. In: Sithamparanathan, K., Marchese, M., Ruggieri, M., Bisio, I. (eds) Personal Satellite Services. PSATS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13618-4_26
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DOI: https://doi.org/10.1007/978-3-642-13618-4_26
Publisher Name: Springer, Berlin, Heidelberg
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