标题：Navigational Data Change Detection Based on Rasterizing Features & Attributes作者：Li, Lianying; Huang, Zhang; Xu, Xiaolan
来源出版物：ADVANCES IN CIVIL ENGINEERING II, PTS 1-4 丛书：Applied Mechanics and Materials卷：256-259 页：2279-2284 DOI：10.4028/www.scientific.net/AMM.256-259.2279出版年：2013
会议名称：2nd International Conference on Civil Engineering and Transportation (ICCET 2012) 会议地点：Guilin, PEOPLES R CHINA 会议日期：OCT 27-28, 2012
摘要：A necessary updating degree is vital for the digital map data in a vehicle navigation system. Only when the digital map data are well updated, can the quality of the navigation be assured. Today the companies devoting to the production of digital map data for vehicle navigation have to cost much labor, material and capital to collect and update data in order to maintain a necessary updating degree. Throughout the history of electronic navigation data updating, they have made considerable progress both on the methods and processes of data production, and the way of map management. Updating from the CD to the network, from the wired to the wireless, from the replacing to the incremental way, each of the technical changes is a power source to enhance the data updating rate. As we all know, the change detection is a prerequisite and base for the electronic navigation data updating. By rapidly developing the area with changes and using the appropriate updating method, we can scientifically maintain the original database of navigation data and terminal physical data. In view of this, starting from application needs for dynamic data updating, this paper analyses change detection methods of navigation data in different versions used for generating incremental data, and focuses on that of rasterizing features and attributes, exploring a new approach to quickly get the incremental data between versions.
作者关键词：Navigational Map, Change Detection, Rasterizing Features & Attributes
通讯作者地址：Li, Lianying; Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.
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[Li, Lianying] WuhanUniv, Sch Resources & Environm Sci,Wuhan*430079*, Peoples RChina.
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