Building detection and change detection using aerial images

Satoshi Nakamura, Yoshimitu Aoki

    研究成果: Article

    1 引用 (Scopus)


    Aerial images are available in recent days. They are useful to observe the aging of the city. However, it's difficult to extract the significant spatial information from them. Many features in the city make it difficult to analyze spatial information by visual observation. In this paper, we propose two methods. One is a method to detect roof domains from aerial images using Multi-Level Slice classification. The other is a method which detects city geographical feature change automatically. In this paper, we run an experiment to verify the accuracy of our method and show the results.

    ジャーナルJournal of the Institute of Image Electronics Engineers of Japan
    出版物ステータスPublished - 2013

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Electrical and Electronic Engineering

    フィンガープリント Building detection and change detection using aerial images' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

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