引用本文: 张志伟, 暴景阳, 肖付民, 辛键. 利用模拟退火算法反演多波束测量声速剖面[J]. 武汉大学学报 ( 信息科学版), 2018, 43(8): 1234-1241.
ZHANG Zhiwei, BAO Jingyang, XIAO Fumin, XIN Jian. Inversion of Sound Velocity Profile in Multibeam Survey Based on Simulated Annealing Algorithm[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8): 1234-1241.
 Citation: ZHANG Zhiwei, BAO Jingyang, XIAO Fumin, XIN Jian. Inversion of Sound Velocity Profile in Multibeam Survey Based on Simulated Annealing Algorithm[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8): 1234-1241.

## Inversion of Sound Velocity Profile in Multibeam Survey Based on Simulated Annealing Algorithm

• 摘要: 针对多波束测量声速剖面站点布设密度不够而引起的声速剖面代表性误差问题，提出一种利用模拟退火算法反演声速剖面的方法。首先，对测区已有声速剖面序列进行经验正交函数（empirical orthogonal function，EOF）分析，利用声速扰动矩阵和前几阶EOF求得EOF重构系数及其变化范围。其次，采用模拟退火算法对EOF重构系数进行迭代优化，以多波束测得的海底地形畸变量大小为依据构建目标函数，并设定合理的退火控制参数。最后，得到待反演区域的声速剖面数据。实例分析表明，该方法反演的声速剖面较时间就近原则选取的替代声速剖面更接近真实声速剖面，且利用反演声速剖面改正后的海底地形更接近真实地形，有效削弱了声速剖面代表性误差的影响，显著提高了多波束测量精度及数据处理效率。

Abstract: In this paper, a method for inversion of sound velocity profile in multibeam survey is pre-sented. Firstly, the sound velocity profile samples are analyzed with empirical orthogonal function (EOF) and the reconstruction coefficients are calculated by sound velocity perturbation matrix and previous order of EOF. Secondly, the reconstruction coefficients of EOF are estimated by simulated annealing algorithm, the target function is constructed with the seafloor distortion which is obtained by multibeam sounding. Finally, the inversion of sound velocity profile is reconstructed. The analysis of examples show that the inversion of sound velocity profile is closer to the real sound velocity profile and the seafloor corrected with inversion of sound velocity profile is closer to the real seafloor.

/

• 分享
• 用微信扫码二维码

分享至好友和朋友圈