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Detection of occluded targets using thermal imaging spectroscopy

  • M. Shimoni
  • , Christiaan Perneel
  • , J. P. Gagnon
  • Telops Inc.

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférencesContribution à une conférenceRevue par des pairs

5 Citations (Scopus)

Résumé

Automatic detection of occluded targets from a sequence of images is an interesting area of research for defense related application. In this paper, change detection methods are investigated for the detection of buried improvised explosive devices (IED) using temporal thermal hyperspectral scenes. Specifically, the paper assesses the detection of buried small aluminium plates using the TELOPS Hyper-Cam sensor and by applying two change detection algorithms: multivariate statistical based method (Cross-Covariance (CC)) and class-conditional change detector (QCC). It was found that spectral based change detection is a good method for the detection of buried IED under disturbed soil. Moreover, the Cross-Covariance (CC)) and the class-conditional (QCC) change detector were able to detect changes using short temporal sequences as long temporal sequences pairs.

langue originaleAnglais
titre2nd Workshop on Hyperspectral Image and Signal Processing
Sous-titreEvolution in Remote Sensing, WHISPERS 2010 - Workshop Program
Les DOIs
étatPublié - 2010
Evénement2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Reykjavik, Islande
Durée: 14 juin 201016 juin 2010

Série de publications

Nom2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

Une conférence

Une conférence2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010
Pays/TerritoireIslande
La villeReykjavik
période14/06/1016/06/10

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