Mean Shift-Based Clustering of Remotely Sensed Data

Lior Friedman, Nathan S. Netanyahu, Maxim Shoshany

Research output: Contribution to conferencePaperpeer-review

6 Scopus citations

Abstract

The mean shift-based clustering of remotely sensed data was discussed. It was observed that the accuracy of the mean shift had risen proportionally to the number of bands used and as more bands were used, the overall accuracy was higher. The consistency of the mean shift procedure as far as its performance on several data sets was established.

Original languageEnglish
Pages3432-3434
Number of pages3
StatePublished - 2003
Event2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France
Duration: 21 Jul 200325 Jul 2003

Conference

Conference2003 IGARSS: Learning From Earth's Shapes and Colours
Country/TerritoryFrance
CityToulouse
Period21/07/0325/07/03

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