Modeling Object Classes in Aerial Images Using Texture Motifs

Sitaram Bhagavathy, Shawn Newsam and B.S. Manjunath

 Dept. of Electrical and Computer Engineering
University of California at Santa Barbara,
Santa Barbara, CA 93106
E-mail: {sitaram, snewsam, manj}@ece.ucsb.edu

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.