Building detection and change detection using aerial images

Satoshi Nakamura, Yoshimitu Aoki

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)25-29
    Number of pages5
    JournalJournal of the Institute of Image Electronics Engineers of Japan
    Volume42
    Issue number1
    Publication statusPublished - 2013

    Keywords

    • Aerial Image
    • Building detection
    • Change detection

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Electrical and Electronic Engineering

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