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- W2107770702 abstract "Currently available pixel-based image analysis techniques do not effectively extract the information content from the increasingly available high spatial resolution remotely sensed imagery data. We are exploring an approach to object-based image analysis in which hierarchical image segmentations provided by the Recursive Hierarchical Segmentation (RHSEG) software are analyzed by the Subdue graph-based knowledge-discovery system. In this paper we discuss our initial approach to representing the RHSEG-produced hierarchical image segmentations in a graphical form understandable by Subdue, and discuss results from real and simulated data." @default.
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- W2107770702 date "2008-01-01" @default.
- W2107770702 modified "2023-09-26" @default.
- W2107770702 title "The Integraton of Graph-Based Knowledge Discovery with Image Segmentation Hierarchies for Data Analysis, Data Mining and Knowledge Discovery" @default.
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- W2107770702 doi "https://doi.org/10.1109/igarss.2008.4779391" @default.
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