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- W3211710405 abstract "With the rapid development of high-resolution synthetic aperture radar (SAR) in spaceborne remote sensing and ground-based applications, SAR as a microwave imaging device could easily acquire images of decimeter to centimeter resolution showing the texture features of rough surface, and facilitate the image texture modeling to better interpret the underlying mechanism. Conventional analytical scattering models for rough surface are tailored for non-imaging scatterometers and cannot model the SAR image texture of rough surface. Inspired by the bidirectional reflection distribution function (BRDF) of rough surface in computer graphics which is spatially focused, we propose the coherent spatially varying bidirectional scattering distribution function (CSVBSDF) of finite-size rough surface for SAR images. It is analytically derived based on the integral equation model (IEM) model and resembles the spatially varying bidirectional scattering distribution function (SVBSDF). Given roughness parameters of the rough surface, the CSVBSDF can generate a SAR image quickly. Comparison of the scattering coefficient and the SAR image with numerical simulation method show that the proposed model is in good agreement with numerical method." @default.
- W3211710405 created "2021-11-22" @default.
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- W3211710405 date "2021-07-28" @default.
- W3211710405 modified "2023-09-23" @default.
- W3211710405 title "Multi-dimensional Scattering Distribution Function for Rough Surface in SAR Images" @default.
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- W3211710405 doi "https://doi.org/10.23919/aces-china52398.2021.9581915" @default.
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