Research on the management and quality detection of massive multi-beam sounding data

Li Hua; Haigang Sui; Yun Nong; Juan Du

doi:10.1117/12.872949

3 November 2010 Research on the management and quality detection of massive multi-beam sounding data

Li Hua, Haigang Sui, Yun Nong, Juan Du

Proceedings Volume 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality; 78401K (2010) https://doi.org/10.1117/12.872949
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

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.

Citation Download Citation

Li Hua, Haigang Sui, Yun Nong, and Juan Du "Research on the management and quality detection of massive multi-beam sounding data", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78401K (3 November 2010); https://doi.org/10.1117/12.872949

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