Reclustering hyperspectral data using variance-based criteria

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

We have examined the clustering results obtained via our previously published N-dimensional histogram segmentation algorithm. In particular, we have derived a method to recombine areas that have been oversegmented in the initial segmentation process. While the algorithm does reduce the number of clusters, different initial clustering inputs do lead to different clustering results. Methods to compare the different final segmentations will be discussed.

Original languageEnglish
Pages309-312
Number of pages4
StatePublished - 1 Dec 2004
Event2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings - Tel-Aviv, Israel
Duration: 6 Sep 20047 Sep 2004

Conference

Conference2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings
Country/TerritoryIsrael
CityTel-Aviv
Period6/09/047/09/04

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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