Segmentation of High Resolution Satellite Images by Direction and Morphological Filters

Authors:
Tomoko Tateyama;Zensho Nakao;Xian Yan Zeng;Yen-Wei Chen
Affiliations:
University of the Ryukyus, Japan;University of the Ryukyus, Japan;California State University, Northridge;Ritsumeikan University, Shiga, Japan
Venue:
HIS '04 Proceedings of the Fourth International Conference on Hybrid Intelligent Systems
Year:
2004

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Classified road detection from satellite images based on perceptual organization

International Journal of Remote Sensing

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Abstract

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.