Research on the management and quality detection of massive multi-beam sounding data
Hua Li, Haigang Sui, Yun Nong, Juan Du · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
There exist many problems on management and application of multi-beam sounding data, such as massive surveying points, large data quantity, difficulty in managing and integrating data from different survey regions, and inefficiency of multi-scale display and gross error detection. Aiming at these problems, new methods for effective management and quality detection of the massive multi-beam sounding data are presented in this paper. Three key techniques including organization and management of massive multi-beam sounding data, fast visualization and quality detection are discussed in detail. Based on the above theories and algorithms, a system named MMSIMS (Massive Multi-beam Sounding Information Management System) is developed. It has been successfully used in the Bohai waterway multibeam sounding project.