G. Z. Shen and J. J. Liao, “An Object Oriented Methodology for Automatic Analysis of Inundate Extent Using Multi-Polarized SAR Image [J],” Remote Sensing Technology And Application, Vol. 22, No. 1, 2007, pp. 79-82.

has been cited by the following article:

• TITLE: Double Polarization SAR Image Classification based on Object-Oriented Technology

  AUTHORS: Xiuguo Liu, Yongsheng Li, Wei Gao, Lin Xiao

  KEYWORDS: Synthetic Aperture Radar, Image Classification, Object-Oriented, Pixel-Based, DEM

  JOURNAL NAME: Journal of Geographic Information System, Vol.2 No.2, May 14, 2010

  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.