Passive Infrared Technique for Buried Object Detection and Classification
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.
Cite
Text
Thành et al. "Passive Infrared Technique for Buried Object Detection and Classification." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981879Markdown
[Thành et al. "Passive Infrared Technique for Buried Object Detection and Classification." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/thanh2011cvprw-passive/) doi:10.1109/CVPRW.2011.5981879BibTeX
@inproceedings{thanh2011cvprw-passive,
title = {{Passive Infrared Technique for Buried Object Detection and Classification}},
author = {Thành, Nguyen Trung and Hao, Dinh Nho and Sahli, Hichem},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2011},
pages = {1-6},
doi = {10.1109/CVPRW.2011.5981879},
url = {https://mlanthology.org/cvprw/2011/thanh2011cvprw-passive/}
}