Towards landmine detection using ubiquitous satellite imaging

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

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


    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.

    Original languageEnglish
    Title of host publicationAdvances in Visual Computing - 12th International Symposium, ISVC 2016, Proceedings
    PublisherSpringer Verlag
    Number of pages11
    Volume10072 LNCS
    ISBN (Print)9783319508344
    Publication statusPublished - 2016
    Event12th International Symposium on Visual Computing, ISVC 2016 - Las Vegas, United States
    Duration: 2016 Dec 122016 Dec 14

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10072 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349


    Other12th International Symposium on Visual Computing, ISVC 2016
    Country/TerritoryUnited States
    CityLas Vegas

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)


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