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Description
  • This paper brings a brief overview of the statistical method called Principal Component Analysis (PCA). It is used for clutter reduction in detection of hidden objects, targets hidden behind walls, buried landmines, etc. Since the measured data, imaged in time domain, suffer from the hyperbolic character of objects' reflections, the utilization of the Synthetic Aperture Radar (SAR) method is briefly described. Besides, the basics of PCA as well as its calculation from the Singular Value Decomposition are presented. The principles of ground and clutter subtraction from image are then demonstrated using training data set and SAR processed measured data.
  • This paper brings a brief overview of the statistical method called Principal Component Analysis (PCA). It is used for clutter reduction in detection of hidden objects, targets hidden behind walls, buried landmines, etc. Since the measured data, imaged in time domain, suffer from the hyperbolic character of objects' reflections, the utilization of the Synthetic Aperture Radar (SAR) method is briefly described. Besides, the basics of PCA as well as its calculation from the Singular Value Decomposition are presented. The principles of ground and clutter subtraction from image are then demonstrated using training data set and SAR processed measured data. (en)
Title
  • Clutter Reduction Based on Principal Component Analysis Technique for Hidden Objects Detection
  • Clutter Reduction Based on Principal Component Analysis Technique for Hidden Objects Detection (en)
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  • Clutter Reduction Based on Principal Component Analysis Technique for Hidden Objects Detection
  • Clutter Reduction Based on Principal Component Analysis Technique for Hidden Objects Detection (en)
skos:notation
  • RIV/68407700:21230/12:00193585!RIV13-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP102/09/P536)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 127494
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00193585
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Synthetic Aperture Radar; through-wall imaging; Singular Value Decomposition; Principal Component Analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [6B669B6B11D0]
http://linked.open...i/riv/nazevZdroje
  • Radioengineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 21
http://linked.open...iv/tvurceVysledku
  • Kabourek, Václav
  • Černý, Petr
  • Mazánek, Miloš
http://linked.open...ain/vavai/riv/wos
  • 000303135600014
issn
  • 1210-2512
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
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