• DocumentCode
    2723155
  • Title

    Passive infrared technique for buried object detection and classification

  • Author

    Thành, Nguyen Trung ; Hào, Dinh Nho ; Sahli, Hichem

  • Author_Institution
    Johann Radon Inst. for Comput. & Appl. Math. (RICAM), Austrian Acad. of Sci., Linz, Austria
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper investigates the problem of detection and characterization of shallowly buried landmines (more generally, buried objects) using passive thermal infrared technique. The problem consists of two steps. The first step aims at predicting the evolution of the soil temperature given the thermal properties of the soil and the buried objects using a physical model. In the second step, the forward thermal model and acquired infrared images are used to detect the presence of buried objects and characterize them based on the estimation of their thermal and geometrical properties.
  • Keywords
    image classification; infrared imaging; landmine detection; soil; buried object classification; buried object detection; geometrical properties; infrared images; passive thermal infrared technique; shallowly buried landmine detection; soil temperature; thermal model; Inverse problems; Landmine detection; Mathematical model; Soil; Soil measurements; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
  • Conference_Location
    Colorado Springs, CO
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4577-0529-8
  • Type

    conf

  • DOI
    10.1109/CVPRW.2011.5981879
  • Filename
    5981879