Journal of Navigation and Port Research 2011;35(10):793-798.
Published online December 31, 2011.
전자해도 수심 밀집도 개선기법 연구
오세웅, 이문진, 김혜진, 서상현
A Study on improvement method of sounding density of ENCs
Se-Woong Oh, Moon-Jin Lee, Hye-Jin Kim, Sang-Hyun Suh
Abstract
ENCs are encoded using a numerical charts developed for publishing paper charts and serviced in forms of grid styles. For this reason, the density of ENCs’ sounding information is not consistent and that requires improved methods. In this study, K-Means, ISODATA clustering algorithm as classification methods for satellite image was reviewed and adopted to this case study. The designed algorithm includes loading module for ENC data, improvement algorithm of sounding information, writing module of ENC data. According to the results of algorithm, we could confirm the improved result.
Key Words: ENC;Sounding;Clustering Method;Density;Quality


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