Modeling Object Classes in Aerial Images Using Texture Motifs

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16th International Conference on Pattern Recognition (ICPR'02) - Volume 2

Quebec City, QC, Canada

August 11-August 15

ISBN: 0-7695-1695-X

	ASCII Text	x
	Sitaram Bhagavathy, Shawn Newsam, B. S. Manjunath, "Modeling Object Classes in Aerial Images Using Texture Motifs," Pattern Recognition, International Conference on, vol. 2, pp. 20981, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002.

	BibTex	x
	@article{ 10.1109/ICPR.2002.1048470, author = {Sitaram Bhagavathy and Shawn Newsam and B. S. Manjunath}, title = {Modeling Object Classes in Aerial Images Using Texture Motifs}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2002}, issn = {1051-4651}, pages = {20981}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048470}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Modeling Object Classes in Aerial Images Using Texture Motifs SN - 1051-4651 SP EP A1 - Sitaram Bhagavathy, A1 - Shawn Newsam, A1 - B. S. Manjunath, PY - 2002 KW - null VL - 2 JA - Pattern Recognition, International Conference on ER -

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048470

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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