Segmentation and classification with point target detection

Y. Simson, M. Cohen, S. R. Rotman

Research output: Contribution to journalConference articlepeer-review


In this paper, we consider the advantages that segmentation can give towards detecting sub-pixel point targets in hyperspectral imagery. We will show that by segmenting the image, we can find a better estimate for the covariance matrix; the resulting target estimation is vastly improved. A method to deal with edge points is discussed.

Original languageEnglish
Article number25
Pages (from-to)103-114
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1 Dec 2004
EventOptically Based Biological and Chemical Sensing for Defence - London, United Kingdom
Duration: 25 Oct 200428 Oct 2004


  • Hyperspectral
  • Segmentation
  • 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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