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Analysis of spaceborne SAR monitoring capabilities for coastal areas bathymetry with COSMO-SkyMed and ALOS data

机译:沿海地区的太空载SAR监测能力分析宇宙碳水化合物和ALOS数据

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A simplified algorithm for SAR-based bathymetry is presented able to measure surface current variations generated by the bottom topography from SAR intensity images and to reduce the need for both a-priori information and human-in-the-loop operations. The algorithm is first analyzed from a theoretical point of view and an error budget model is developed to estimate the achievable depth accuracy as a function of the uncertainty in the input parameters. Preliminary experimental results are also presented in which the algorithm is applied to both COSMO-SkyMed and ALOS images of the Gulf of Naples. The results show that the technique has the potential to generate depth measures that are significantly denser than those commonly reported in the nautical charts.
机译:介绍了一种简化的基于SAR的浴室算法,其能够测量由SAR强度图像产生的底部地形产生的表面电流变化,并减少对先验信息和循环操作的需求。首先从理论的角度分析该算法,开发出错误预算模型以估计可实现的深度精度作为输入参数中的不确定性的函数。还提出了初步实验结果,其中将该算法应用于宇宙氧化物和那不勒斯海湾的Alos图像。结果表明,该技术具有产生的深度措施,这些措施明显小于航海图中常用的措施。

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