Information integration and service optimization in marine battlefield

Effective integration and application of geographical data and environment information has been studied as the most pressing challenge in marine military GIS field. In this paper, we present an integrative region grid object (RGO) model, a dynamic hot-region index and a combat- pattern based application method to improve the traditional work. While the multi-source situation information are stored separately by their data types, we have to search the databases one by one and finally get all the required data, the RGO model means to solve this problem. As different areas have different attentions, a hot-region index organizes the most popular ones which is much shorter than the common index and has a high accessing possibility. Different combat patterns care about different environment information, so a mapping between combat pattern and situation information can make the transferring data-set minimized. All the techniques above test to improve the data services and application performance in marine battlefield.