摘要
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。
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.
出处
《计算机仿真》
CSCD
北大核心
2012年第3期296-299,共4页
Computer Simulation
关键词
光学遥感
滩海
水深反演模型
Optical remote sensing
Coastal zone
Bathymetry retrieval model
