SATCLUS: an effective clustering technique for remotely sensed images

  • Authors:
  • Sauravjyoti Sarmah;Dhruba K. Bhattacharyya

  • Affiliations:
  • Dept. of CS & Engg., Tezpur University, India;Dept. of CS & Engg., Tezpur University, India

  • Venue:
  • PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
  • Year:
  • 2011

Quantified Score

Hi-index 0.01

Visualization

Abstract

This paper presents a grid density based clustering technique (SATCLUS) to identify clusters present in a multi spectral satellite image. Experimental results are reported to establish that SATCLUS can identify clusters of any shape in any satellite data effectively and dynamically.