• 全国中文核心期刊
  • 中国科技核心期刊
  • 美国工程索引(EI)收录期刊
ZHU Jun-jie, GUO Hua-dong, FAN Xiang-tao, DING Chi-biao, LI Li-gang, LI Yu-long. Water detection with high-resolution SAR image based on texture and imaging knowledge[J]. Advances in Water Science, 2006, 17(4): 525-530.
Citation: ZHU Jun-jie, GUO Hua-dong, FAN Xiang-tao, DING Chi-biao, LI Li-gang, LI Yu-long. Water detection with high-resolution SAR image based on texture and imaging knowledge[J]. Advances in Water Science, 2006, 17(4): 525-530.

Water detection with high-resolution SAR image based on texture and imaging knowledge

Funds: The study is financially supported by the Knowledge Innovation Project of Chinese Academy of Sciences(KZCX3-SW-338-3)
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  • Received Date: March 09, 2005
  • Revised Date: May 07, 2005
  • In order to extract water accurately, we analyze the characteristics and the imaging mechanism of the country buildings in the synthetic aperture rader (SAR) images, and find that the water detection is interfered by the shadow of the buildings.Therefore, the water is accurately extracted from the high resolution SAR image after getting rid of the building shadows by the texture method and the knowledge-based building representation.This paper indicates that it can more accurately extract information from the high-resolution SAR images with the tradit ional methods, combining with the knowledge based methods.After extract ing water we can analyze the correlative information farther.
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