Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data

In this paper, unsupervised segmentation methods are investigated for surficial materials mapping in Nunavut, Canada. Different satellite data sources including RADARSAT-2 polarimetric image, LANDSAT-7 image, and DEM data are combined and three unsupervised segmentation methods are compared. Results show that IRGS has better performance than the other two methods.