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.
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Sarmah, S., Bhattacharyya, D.K. (2011). SATCLUS: An Effective Clustering Technique for Remotely Sensed Images. In: Kuznetsov, S.O., Mandal, D.P., Kundu, M.K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2011. Lecture Notes in Computer Science, vol 6744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21786-9_20
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DOI: https://doi.org/10.1007/978-3-642-21786-9_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21785-2
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