loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fourth International Conference on Hybrid Intelligent Systems (HIS'04)
Segmentation of High Resolution Satellite Images by Direction and Morphological Filters
Kitakyushu, Japan
December 05-December 08
ISBN: 0-7695-2291-2
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
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
Usage of this product signifies your acceptance of the Terms of Use.