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Double Polarization SAR Image Classification based on Object-Oriented Technology
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Journal of Geographic Information System·Volume 02 (2010)·Pages 113–119·Published 14 May 2010·DOI10.4236/jgis.2010.22017
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Abstract
This paper proposed to use double polarization synthetic aperture radar (SAR) image to classify surface feature, based on DEM. It takes fully use of the polarization information and external information. This pa-per utilizes ENVISAT ASAR APP double-polarization data of Poyang lake area in Jiangxi Province. Com-pared with traditional pixel-based classification, this paper fully uses object features (color, shape, hierarchy) and accessorial DEM information. The classification accuracy improves from the original 73.7% to 91.84%. The result shows that object-oriented classification technology is suitable for double polarization SAR’s high precision classification.
KeywordsSynthetic Aperture RadarImage ClassificationObject-OrientedPixel-BasedDEM
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