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Detection of occluded targets using thermal imaging spectroscopy

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

5 Citaten (Scopus)

Samenvatting

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.

Originele taal-2Engels
Titel2nd Workshop on Hyperspectral Image and Signal Processing
SubtitelEvolution in Remote Sensing, WHISPERS 2010 - Workshop Program
DOI's
StatusGepubliceerd - 2010
Evenement2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Reykjavik, IJsland
Duur: 14 jun. 201016 jun. 2010

Publicatie series

Naam2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

Congres

Congres2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010
Land/RegioIJsland
StadReykjavik
Periode14/06/1016/06/10

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