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Copyright of Hydrographic Surveying & Charting / Haiyang Cehui is the property of Hydrographic Surveying & Charting Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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. [ABSTRACT FROM AUTHOR]

Copyright of Hydrographic Surveying & Charting / Haiyang Cehui is the property of Hydrographic Surveying & Charting Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, mode vectors via EOF (empirical orthogonal function) are obtained based on real sound velocity profiles; by correcting the terrain distortion, the reconstruction coefficients of sound velocity profile are determined by GA (genetic algorithm) and then the inversion result of sound velocity profile is obtained. Results show that terrain distortion caused by the sound velocity errors can be effectively corrected by the inversion result of sound velocity profiles. Meanwhile, the accuracy and processing efficiency of multi-beam bathymetry data was significantly improved. [ABSTRACT FROM AUTHOR]