Towards landmine detection using ubiquitous satellite imaging

Sahar Elkazaz*, Mohamed E. Hussein, Ahmed El-Mahdy, Hiroshi Ishikawa

*この研究の対応する著者

    研究成果: Conference contribution

    抄録

    Despite the tremendous number of landmines worldwide, existing methods for landmine detection still suffer from high scanning costs and times. Utilizing ubiquitous thermal infrared satellite imaging might potentially be an alternative low-cost method, relying on processing big image data collected over decades. In this paper we study this alternative, focusing on assessing the utility of resolution enhancement using state-of-the art super-resolution algorithms in landmine detection. The major challenge is the relatively limited number of thermal satellite images available for a given location, which makes the possible magnification factor extremely low for landmine detection. To facilitate the study, we generate equivalent satellite images for various landmine distributions. We then estimate the detection accuracy from a naive landmine detector on the super-resolution images. While our proposed methodology might not be useful for anti-personal landmines, the experimental results show a promising detection rates for large anti-tank landmines.

    本文言語English
    ホスト出版物のタイトルAdvances in Visual Computing - 12th International Symposium, ISVC 2016, Proceedings
    出版社Springer Verlag
    ページ257-267
    ページ数11
    10072 LNCS
    ISBN(印刷版)9783319508344
    DOI
    出版ステータスPublished - 2016
    イベント12th International Symposium on Visual Computing, ISVC 2016 - Las Vegas, United States
    継続期間: 2016 12 122016 12 14

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    10072 LNCS
    ISSN(印刷版)03029743
    ISSN(電子版)16113349

    Other

    Other12th International Symposium on Visual Computing, ISVC 2016
    国/地域United States
    CityLas Vegas
    Period16/12/1216/12/14

    ASJC Scopus subject areas

    • 理論的コンピュータサイエンス
    • コンピュータ サイエンス(全般)

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