Modeling Object Classes in Aerial Images Using Texture Motifs

Sitaram Bhagavathy; Shawn Newsam; B. S. Manjunath

doi:10.1109/ICPR.2002.1048470

Pattern Recognition, International Conference on

Modeling Object Classes in Aerial Images Using Texture Motifs

Year: 2002, Volume: 2, Pages: 20981

DOI Bookmark: 10.1109/ICPR.2002.1048470

Authors

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

Abstract

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.

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Modeling Object Classes in Aerial Images Using Texture Motifs

Authors

Abstract

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