Towards landmine detection using ubiquitous satellite imaging

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


研究成果: Conference 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.

ホスト出版物のタイトルAdvances in Visual Computing - 12th International Symposium, ISVC 2016, Proceedings
編集者George Bebis, Bahram Parvin, Sandra Skaff, Daisuke Iwai, Richard Boyle, Darko Koracin, Fatih Porikli, Carlos Scheidegger, Alireza Entezari, Jianyuan Min, Amela Sadagic, Tobias Isenberg
出版社Springer Verlag
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月 122016 12月 14


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10072 LNCS


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

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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