A preliminary study using granular computing for remote sensing image segmentation involving roughness

Authors:
Ge Cui;Xin Wang
Affiliations:
Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada;Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada
Venue:
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Year:
2012

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Abstract

Granular computing partitions the universe into granules, allowing for their further analysis. For several years granular computing has been used to address problems in the field of machine learning, image analysis and data mining. In this paper, we discuss the application of granular computing to remote sensing image segmentation. A granule merging algorithm involving roughness is proposed.