Title :
Wishart supervised classification results of C-band polarimetric GB-SAR image data
Author :
Kang, Moon-Kyung ; Kim, Kwang-Eun ; Cho, Seong-Jun ; Lee, Hoonyol ; Lee, Jae-Hee
Author_Institution :
Korea Inst. of Geosci. & Miner. Resources, Daejeon, South Korea
Abstract :
The objective of this paper is a classification and analysis of a fully polarimetric ground based synthetic aperture radar (GB-SAR) image to discriminate the different terrain media. Wishart supervised classification method was applied to classify the fully polarimetric GB-SAR data and the refined Lee filter for reducing a speckle noise. We discussed about the classification results of the obtained GB-SAR.
Keywords :
radar imaging; radar polarimetry; synthetic aperture radar; Wishart supervised classification; c-band polarimetric GB-SAR image data; polarimetric ground based synthetic aperture radar image; speckle noise; Atmospheric measurements; Humidity; Image color analysis; Speckle; Temperature; Temperature measurement; Vegetation; GB-SAR; Wisahrt supervised classification; polarimetric SAR;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049164
