Research on Remote Sensing User Demand Mining Analysis Method

A method of mining and analyzing remote sensing user needs is presented in this paper. With the increasing number and types of satellites in China, satellites are more and more widely used in national economic construction, which can be used in land and resources census, emergency natural disaster relief, urban construction management, earth environment monitoring and so on. Therefore, the number of remote sensing users expand quickly and the specific content of remote sensing observation needs and remote sensing image data needs is diverse. How to find out the user’s remote sensing resources and data use rules from the large number of remote sensing needs is a key problem. The difficulty lies in that the rules representing the relationship between demand parameters are recessive rather than explicit, which can only be found by complex data analysis, especially under the condition of large amount of data. Data mining technology can find potential as well as valuable rules and knowledge from massive data. It is an effective tool to analyze massive data and an effective technical means to solve the above problems. In this paper, the association rules mining algorithm is adopted to mine and analyze mass of remote sensing user demand data, and find the potential association rules between the demand source, regional scope, time, demand type and other parameters.