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Jin Yaqiu,Zhang Wei. 2000. An inverse method for underwater bottom topography by using SAR imagery. Acta Oceanologica Sinica, (4):53-62
An inverse method for underwater bottom topography by using SAR imagery
An inverse method for underwater bottom topography by using SAR imagery
Received:December 23, 1999  Revised:May 23, 2000
DOI:
Key words:Underwater bottom topography  ocean current  SAR  inversion
中文关键词:  Underwater bottom topography  ocean current  SAR  inversion
基金项目:The project was supported by the National Natural Science Foundation of China under contract Nos 49831060, 69771007,and National 863-818-06-05.
Author NameAffiliation
Jin Yaqiu Center for Wave Scattering and Remote Sensing, Fudan University, Shanghai 200433, China 
Zhang Wei Center for Wave Scattering and Remote Sensing, Fudan University, Shanghai 200433, China 
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Abstract:
      Interaction between current and underwater bottom topography leads to roughness of the sea surface, which in turn yields variation of the radar scattering echo.By using the continuity equation and weak hydrodynamic interaction theory in the relaxation time approximation, the spatial variation of the radar scattering cross-section has been proved as proportional to the gradient of current velocity.The current direction is first determined by using two-dimensional (2-D) correlation of spatial variation of backscattering measured by the SAR imagery, as the priori knowledge of the current direction is not available.The inverse algorithm to successively derive 2-D underwater bottom topography from the SAR imagery is developed.As an application, the SAR SIR-C image over the sea area of Hong Kong, China is studied.
中文摘要:
      Interaction between current and underwater bottom topography leads to roughness of the sea surface, which in turn yields variation of the radar scattering echo.By using the continuity equation and weak hydrodynamic interaction theory in the relaxation time approximation, the spatial variation of the radar scattering cross-section has been proved as proportional to the gradient of current velocity.The current direction is first determined by using two-dimensional (2-D) correlation of spatial variation of backscattering measured by the SAR imagery, as the priori knowledge of the current direction is not available.The inverse algorithm to successively derive 2-D underwater bottom topography from the SAR imagery is developed.As an application, the SAR SIR-C image over the sea area of Hong Kong, China is studied.
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