SATCLUS: An Effective Clustering Technique for Remotely Sensed Images

被引：0

作者：

Sarmah, Sauravjyoti ^{[1
]}

Bhattacharyya, Dhruba K. ^{[1
]}

机构：

[1] Tezpur Univ, Dept CS & Engg, Tezpur, India

来源：

PATTERN RECOGNITION AND MACHINE INTELLIGENCE | 2011年 / 6744卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：110 / 115

页数：6

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