Information Mining and Knowledge Discovery from Satellite Remote Sensing Data Based on Information Theory A Study Case on Geological Application
Guojin He, Bolin Cong · Yaogan jishu yu yingyong · 1999
The limited capability and efficiency for information extraction is just the key factor that keeps remote sensing data from better applications.However,the theory of Data Mining(DM) and Knowledge Discovery from Databases(KDD) which was presented at the end of 1980's has provided us with a new idea to solve this problem.Based on the procedure analysis of DM and KDD technique as well as performing on an information interpretation of satellite data with information theory,the thesis firstly presents a theoretical and technological framework of satellite remote sensing data mining and knowledge discovery for geological application.Under this framework,the paper on the one hand regards temporal choice of satellite data as a special step of the DM and KDD procedure,and performs a deep discussion on the relationship beetween geological remote sensing information and satellite temporal.On the other hand focuses on the study of DM and KDD methods for information from satellite data,namely the method of Micro difference information processing and the technique of information fusion.The testing application case has proved a reasonable presentation of this framework and the practical significance of its related methods.