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滩海水深遥感反演模型应用研究

     

摘要

Shipborne Sonar bathymetry is difficult and slow. In order to make up the deficiency, a technology of coastal bathymetry from remote sensing is developed. Bathymetry technology based on remote sensing can acquire large area shallow water-depth information. Based on the simple shallow-water radiance model optically, this paper constructed two bathymetry retrieval models of Bohai Bay water area with optical images and field measurement data: a semi-theory and semi-experience model and a statistical correlation model. The average standard deviation of depth error was 2.7m. The results indicate that this method is fast and effective. It can provide a reliable basis for shallow water depth calculation and bathymetric mapping in shallow water area.%研究船舶准确探测滩海水深的信息问题.由于海水深度不同,散射特征和输入均有信号衰减,影响准确探测定位.传统探测方法利用船载声纳测深方法测量难度大,更新速度慢.为了弥补不足,提出了遥感探测滩海水深的方法,利用遥感的水深探测技术可快速获取大面积的滩海水深信息,根据遥感反演水深的基本原理,采用我国渤海滩海光学数据和实测水深资料,结合半理论半经验模型和统计相关模型,进行水深探测模型仿真,得到平均标准误差为2.7m.实验结果表明了方法的快速有效,可为渤海湾滩浅海水深地形研究提供可靠的依据.

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