Finding and Detection of Outlier Regions in Satellite Image
Outlier cluster detection has always been a hot research field of data mining. Outlier cluster detection is important in many fields. Automatic determination of the outlier cluster is often needed to eliminate that outlier cluster. In this paper, a method has been developed to determine the outlier regions in satellite image using a data mining algorithm based on the co-occurrence matrix technique in order to determinate that outlier. The authors' method consists of four stages, the first stage estimate a number of cluster by co-occurrence matrix, the second stage cluster dataset by automatic clustering algorithm, the third stage detect outlier regions by automatic threshold value and the final stage defines outlier regions, which are lower than threshold value, to be outlier regions.