NDLI: Infrared Thermography for Buried Landmine Detection: Inverse Problem Setting

Content Provider	IEEE Xplore Digital Library
Author	Nguyen Trung Thanh Sahli, H. Dinh Nho Hao
Copyright Year	1980
Abstract	This paper deals with an inverse problem arising in infrared (IR) thermography for buried landmine detection. It is aimed at using a thermal model and measured IR images to detect the presence of buried objects and characterize them in terms of thermal and geometrical properties. The inverse problem is mathematically stated as an optimization one using the well-known least-square approach. The main difficulty in solving this problem comes from the fact that it is severely ill posed due to lack of information in measured data. A two-step algorithm is proposed for solving it. The performance of the algorithm is illustrated using some simulated and real experimental data. The sensitivity of the proposed algorithm to various factors is analyzed. A data processing chain including anomaly detection and characterization is also introduced and discussed.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	3987
Ending Page	4004
Page Count	18
File Size	2146779
File Format	PDF
ISSN	01962892
Volume Number	46
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared detectors Landmine detection Inverse problems Buried object detection Informatics Soil measurements Solid modeling Radar detection Land surface temperature Area measurement optimization Adjoint technique classification infrared (IR) thermography inverse problem landmine detection
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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