A Novel Approach to Extract Water Body from ASAR Dual-Polarized Data

نویسندگان

  • Jianwei Ma
  • Xiaoning Song
  • Xiaotao Li
  • Pei Leng
  • Fangcheng Zhou
  • Shuang Li
چکیده

SAR (Synthetic Aperture Radar) has become a useful and efficient method for monitoring flood extent due to its capability of 24-hour and all weather observation. In this paper, a novel approach is proposed to extract water bodies from ASAR dual-polarized images. Firstly, a new SAR image was created from ASAR Dual-Polarized data using a discrete wavelet transformation (DWT) fusion method. Then, a modified Otsu threshold method was used to extract water bodies of Poyang Lake with the new fused image. Next, this image was compared with the one extracted from ETM+ data. The result showed that the fused image was feasible and more accurate. Besides, it could reduce the influences of shadow and noise. Moreover, the approach could be conducted automatically, which is very important under urgent condition for flood monitoring.

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تاریخ انتشار 2013