Title :
Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data
Author :
Fan Li ; Wong, Alexander ; Clausi, David A.
Author_Institution :
Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
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.
Keywords :
digital elevation models; geophysical image processing; image segmentation; radar polarimetry; remote sensing by radar; terrain mapping; Canada; DEM data; IRGS; LANDSAT-7 image; Nunavut; RADARSAT-2 polarimetric image; satellite data sources; surficial material mapping; unsupervised segmentation method; Accuracy; Earth; Image segmentation; Materials; Remote sensing; Satellites; Vegetation mapping; DEM; LANDSAT-7 image; RADARSAT-2 polarimetric image; Segmentation;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947039
