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} [at] ece.ucsb.edu
Dept. of Electrical and Computer Engineering
University of California at Santa Barbara,
Santa Barbara, CA 93106
E-mail: {sitaram, snewsam, manj} [at] 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.
IEEE International Conference on Pattern Recognition (ICPR), vol. 2, pp. 981-984, Québec City, Aug. 2002.
Node ID: 343 ,
DB ID: 141 ,
VRLID: 104 ,
Lab: VRL ,
Target: Proceedings
Subject: [Object-Based Retrieval] « Look up more