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Geospatial Data Mining for Security by anant_nimkar9243 is a document available to read on EtoBox.
What is Geospatial Data Mining for Security about?
This document discusses using geospatial data mining techniques to classify land cover and group pixels into semantic concepts for national security applications. Specifically, it proposes combining data from different spatial and spectral resolutions to classify pixels using support vector machines. It then introduces an efficient algorithm to group neighboring pixels based on their classifications and generate higher-level semantic concepts using ontologies. Experiments on ASTER data show the approach ach
- Author
- anant_nimkar9243
- Language
- EN