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SATCLUS: An Effective Clustering Technique for Remotely Sensed Images

  • Sauravjyoti Sarmah
  • Dhruba K. Bhattacharyya
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6744)

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.

Keywords

Satellite Image Cluster Technique Border Cell Fast Processing Time Grid Base Cluster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sauravjyoti Sarmah
    • 1
  • Dhruba K. Bhattacharyya
    • 1
  1. 1.Dept. of CS & Engg.Tezpur UniversityIndia

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