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Proceedings Paper

Research on the management and quality detection of massive multi-beam sounding data
Author(s): Li Hua; Haigang Sui; Yun Nong; Juan Du
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Paper 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.

Paper Details

Date Published: 3 November 2010
PDF: 8 pages
Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78401K (3 November 2010); doi: 10.1117/12.872949
Show Author Affiliations
Li Hua, Huazhong Agricultural Univ. (China)
Haigang Sui, Wuhan Univ. (China)
South China Univ. of Technology (China)
Yun Nong, Wuhan Univ. (China)
Juan Du, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7840:
Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality
Huadong Guo; Changlin Wang, Editor(s)

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