An improved filter for point target detection in multi-dimensional imagery

O. Raviv, S. R. Rotman

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations


We consider a method to improve the standard RX algorithm for point target detection. In this algorithm, we weight the results from an anti-mean or anti-median filter by dividing by the standard deviation of the local environment of each suspect pixel. In this way, we lower the false alarms caused by edge points. The results of each band are then combined. Results will be shown for visible and SWIR hyperspectral imagery.

Original languageEnglish
Pages (from-to)32-40
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 3 May 2004
EventImaging Spectrometry IX - San Diego, CA, United States
Duration: 6 Aug 20037 Aug 2003


  • Hyperspectral imagery
  • Point target detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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