Towards landmine detection using ubiquitous satellite imaging

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

*Corresponding author for this work

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
EditorsGeorge Bebis, Bahram Parvin, Sandra Skaff, Daisuke Iwai, Richard Boyle, Darko Koracin, Fatih Porikli, Carlos Scheidegger, Alireza Entezari, Jianyuan Min, Amela Sadagic, Tobias Isenberg
PublisherSpringer Verlag
Number of pages11
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)0302-9743
ISSN (Electronic)1611-3349


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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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