Infrared thermography for buried landmine detection: Inverse problem setting

Nguyen Trung Thành, Hichem Sahli, Dinh Nho Hào

Research output: Contribution to journalArticlepeer-review

49 Scopus citations


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.

Original languageEnglish (US)
Article number4683351
Pages (from-to)3987-4004
Number of pages18
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number12
StatePublished - Dec 2008
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences


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