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Modeling Object Classes in Aerial Images Using Texture Motifs
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104847016th International Conference on Patt ...
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Sitaram Bhagavathy, University of California at Santa Barbara
Shawn Newsam, University of California at Santa Barbara
B. S. Manjunath, University of California at Santa Barbara
We propose a canonical model for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections of texture motifs corresponding to the geographic processes that generate them. We show that this model is effective in learning the common texture themes, or motifs, of the object classes.
Citation:
Sitaram Bhagavathy, Shawn Newsam, B. S. Manjunath, "Modeling Object Classes in Aerial Images Using Texture Motifs," icpr, vol. 2, pp.20981, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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