TY - GEN
T1 - Passive infrared technique for buried object detection and classification
AU - Thành, Nguyen Trung
AU - Hao, Dinh Nho
AU - Sahli, Hichem
PY - 2011/10/31
Y1 - 2011/10/31
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80054890958&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80054890958&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2011.5981879
DO - 10.1109/CVPRW.2011.5981879
M3 - Conference contribution
AN - SCOPUS:80054890958
SN - 9781457705298
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
BT - 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
T2 - 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
Y2 - 20 June 2011 through 25 June 2011
ER -