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
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;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location :
Colorado Springs, CO
Print_ISBN :
978-1-4577-0529-8
DOI :
10.1109/CVPRW.2011.5981879