Segmentation of High Resolution Satellite Images by Direction and Morphological Filters

H
HIS
2004
Fourth International Conference on Hybrid Intelligent Systems (HIS'04)
Abstract - Segmentation of High Resolution Satellite Images by Direction and Morphological Filters

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Fourth International Conference on Hybrid Intelligent Systems (HIS'04)

Kitakyushu, Japan

December 05-December 08

ISBN: 0-7695-2291-2

	ASCII Text	x
	Tomoko Tateyama, Zensho Nakao, Xian Yan Zeng, Yen-Wei Chen, "Segmentation of High Resolution Satellite Images by Direction and Morphological Filters," Hybrid Intelligent Systems, International Conference on, pp. 482-487, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004.

	BibTex	x
	@article{ 10.1109/ICHIS.2004.85, author = {Tomoko Tateyama and Zensho Nakao and Xian Yan Zeng and Yen-Wei Chen}, title = {Segmentation of High Resolution Satellite Images by Direction and Morphological Filters}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2291-2}, pages = {482-487}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.85}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Segmentation of High Resolution Satellite Images by Direction and Morphological Filters SN - 0-7695-2291-2 SP482 EP487 A1 - Tomoko Tateyama, A1 - Zensho Nakao, A1 - Xian Yan Zeng, A1 - Yen-Wei Chen, PY - 2004 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

Tomoko Tateyama, University of the Ryukyus, Japan

Zensho Nakao, University of the Ryukyus, Japan

Xian Yan Zeng, California State University, Northridge

Yen-Wei Chen, Ritsumeikan University, Shiga, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.85

This paper examines images taken from IKONOS to extract several features such as road relations automatically. We propose a new method which combines color, texture information and shape information for segmentation of high resolution satellite images. The method uses color and texture information for global segmentaiton, and shape information for local analysis.

We propose a new direction filter which pays its attention to road features having information on specific directionality. We also propose another new morphology filter which is used as a length filter extracting length of each region more efficiently.

Citation:

Tomoko Tateyama, Zensho Nakao, Xian Yan Zeng, Yen-Wei Chen, "Segmentation of High Resolution Satellite Images by Direction and Morphological Filters," his, pp.482-487, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004

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