Title :
Automatic processing of the multibeam echosounding data based on CUBE algorithm
Author :
Xiaodi Qi ; Xinghua Zhou
Author_Institution :
First Inst. of Oceanogr., SOA, Qingdao, China
Abstract :
Based on combined uncertainty and bathymetry estimator (CUBE) algorithm, a dynamic linear model (DLM) including horizontal and vertical soundings data uncertainties is discussed. Kalman filtering and multiple estimations are utilized to calculate the grid nodes. According to the real measured data of survey area of Bohai, comparison with the manual interactive process, CUBE algorithm is presented to estimate the true depth of the grid points of the survey area in this paper. From the experimental results, it can be seen that the CUBE algorithm is efficient and has good robustness, which means the proposed algorithm is suitable for massive multibeam soundings data in real-time automatic processing.
Keywords :
Kalman filters; bathymetry; echo; CUBE algorithm; Kalman filtering; combined uncertainty and bathymetry estimator; depth estimate; dynamic linear model; multibeam echosounding data; multibeam soundings data; multiple estimations; real time automatic processing; Algorithm design and analysis; Estimation; Heuristic algorithms; Kalman filters; Robustness; Uncertainty; CUBE algorithm; Depth estimation; Multibeam echosounding data; Uncertainty;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720499