多波束测深条带拼接区误差处理方法研究
[Abstract]:The quality control of bathymetric data in strip splicing area is an important part of multi-beam data processing. It is of great significance to improve the accuracy of multi-beam bathymetry and to obtain the real seabed topography in the whole area. In this paper, a systematic and comprehensive analysis is made on the method of weakening the sounding data error in the multi-beam band splicing area. The contents include: the derivation of the theory of bathymetric points and the analysis of the distribution characteristics, the selection of the optimal space construction method of the submarine topography, the classification of the influence of sounding errors and the corresponding processing methods, The study of the outliers of multi-plane function robust estimation based on median parameters and the method of systematic residual error weakening in topographic spectrum analysis are also presented in this paper. The main contents of this paper are summarized as follows: 1 deduces the calculation process of the underwater beam footprint point and obtains the accurate bathymetric point coordinates. The geodetic coordinates of the bathymetric points obtained are converted into the spatial rectangular coordinates to avoid the problem of large distortion when the data are processed with latitude and longitude coordinates. In addition, the distribution characteristics of isometric and isometric beams in different signal transmission modes are analyzed. 2. According to the rectangular coordinates of bathymetric points, various spatial interpolation methods are used to construct submarine topography. The optimal interpolation method is selected synthetically according to the visualization effect of time loss Dem and the evaluation value of residual error. The example shows that in the practical application process, the construction of submarine terrain DEM should be based on the complex degree of submarine topography and the distribution characteristics of bathymetric points to select its own optimal method .3 to classify the effect of multi-beam sounding error from different aspects. According to the depth value of different types of errors in the measurement process, the influence of the errors of sound velocity profile measurement and attitude measurement on strip splicing is analyzed. In addition, the research methods of outliers and systematic errors in the nature of errors are described. To provide guidance for the following methods in this paper. 4. The depth filtering for polynomial curved surface fitting is incomplete and the ability to approach the real submarine terrain is limited. Taking the residual error obtained by the least squares as the initial value of robust and seriously disturbing the robust performance, this paper presents a multi-plane function robust estimation method based on median parameters to automatically filter the sounding outliers. This method is improved in the selection of known nodes of multi-plane function, and is thinned by combining the joint angle-chord height criterion and the dispersion of the points. In addition, the characteristics of strong robust ability of the median parameters of the multivariate parameters are synthesized. The experimental results show that the method can extract the feature points of the region to the maximum extent and the maximum efficiency. It can be seen from the Dem effect diagram that there are basically no prominent fluctuation points. At the same time, it ensures that the characteristics of continuous variation of submarine topography. 5. Although some systematic sounding errors have been corrected in data processing, the residual errors of the multi-beam bathymetric system itself and their induced errors still exist, The precision of sounding is seriously affected, which leads to the phenomenon of crying and smiling face in the splicing zone. Therefore, a method based on topographic spectrum analysis is proposed to reduce the influence of systematic residual error and is compared with DFT method. The experimental results show that the system residual error of the whole survey area can be quickly processed by using partition multi-band segmentation and by properly diluting the interval between the known nodes in the multi-plane function and reasonably reducing the fitting accuracy. Compared with the DFT method, the residual error of the bathymetric data processed by the topographic spectrum analysis method is greatly improved.
【学位授予单位】:东华理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:P207.1
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