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
Link To Document