Segmentation of high resolution satellite images by direction and morphological filters

Tomoko Tateyama, Zensho Nakao, Xian Yan Zeng, Yen Wei Chen

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

8 被引用数 (Scopus)

抄録

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 segmentation, 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.

本文言語英語
ホスト出版物のタイトルProceedings - HIS'04
ホスト出版物のサブタイトル4th International Conference on Hybrid Intelligent Systems
編集者M. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D.M. Corne, A. Abraham
ページ482-487
ページ数6
出版ステータス出版済み - 2005
外部発表はい
イベントProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems - Kitakyushu, 日本
継続期間: 05-12-200408-12-2004

出版物シリーズ

名前Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems

会議

会議Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
国/地域日本
CityKitakyushu
Period05-12-0408-12-04

All Science Journal Classification (ASJC) codes

  • 工学一般

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