Qulity Detection for Chinese Paper Chart Production Based on Knowledge Rules

The quality of chart production is the core and soul of the foundational marine information. However, at present there exist some problems such as much repeated work, low efficiency and a great of waste in quality detection for paper charts in China. Aiming at these problems, a new method of quality detection for paper charts based on knowledge rules and quality standard database is presented in this paper. The core idea of this method is to study the criterion and production process of paper charts to form the knowledge rules for quality detection, and build a standard quality detection database of paper charts. Based on the quality detection database and knowledge rules ,relative detection algorithms can be designed for detecting each chart element. In this paper we focus on the quality detection for three typical chart elements that are labels, navigation markers, and tide tables. And the application system named ChartQD was developed. It has been applied in TianJin Marine Safety Administration Bureau and obtained a good evaluation. * Haigang Sui is an associate professor in State Key Lab. for Information Eng. in Surveying, Mapping and Remote Sensing (LIESMARS) of Wuhan University in China. His research interests are GIS theory and application, and digital marine.