Segmentation of high resolution satellite images by direction and morphological filters

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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 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.

Original languageEnglish
Title of host publicationProceedings - HIS'04
Subtitle of host publication4th International Conference on Hybrid Intelligent Systems
EditorsM. Ishikawa, S. Hashimoto, M. Paprzycki, E. Barakova, K. Yoshida, M. Koppen, D.M. Corne, A. Abraham
Pages482-487
Number of pages6
Publication statusPublished - 2005
Externally publishedYes
EventProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems - Kitakyushu, Japan
Duration: 05-12-200408-12-2004

Publication series

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

Conference

ConferenceProceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems
Country/TerritoryJapan
CityKitakyushu
Period05-12-0408-12-04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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