Title :
Model-based classification of polarimetric SAR sea ice data
Author :
Scheuchl, B. ; Hajnsek, I. ; Cumming, I.G.
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada
Abstract :
This paper discusses the role of scattering decomposition models in the classification of polarimetric SAR sea ice data. The iterative Wishart classifier was applied to 3-frequency airborne SAR data acquired in the Beaufort Sea, and the scattering models were found to be helpful in interpreting the assigned classes. In addition to using the full data set, reduced data sets based on an eigenvector decomposition were investigated for their potential for classification, as the eigenvectors provided a separation of scattering mechanisms. The surface scattering component was found to be the dominant one for this data set, and yielded a classification similar to the full data set.
Keywords :
geophysical signal processing; image classification; oceanographic techniques; radar imaging; radar polarimetry; radar signal processing; radar theory; remote sensing by radar; sea ice; synthetic aperture radar; Arctic Ocean; Beaufort Sea; eigenvector decomposition; image classification; iterative Wishart classifier; measurement technique; model based classification; ocean; radar polarimetry; radar remote sensing; scattering decomposition model; sea ice; synthetic aperture radar; Frequency; Ice thickness; Ocean temperature; Radar polarimetry; Radar scattering; Remote monitoring; Sea ice; Sea surface; Spaceborne radar; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026168