Research on remote sensing image data mining prototype system and the RSIDMM-DTM

With mass production and widespread application of remote sensing (RS) image, the management of RS data and its processing theories, techniques and algorithms need a new breakthrough. Different levels of knowledge from very large volume of RS data will be applied to RS image classification, so as to improve the efficiency and accuracy of RS image analysis and to establish an intelligent GIS based on RS images. Difficulties in RS images data mining are listed in the paper, and a prototype system of RS image data mining is designed. Besides experiments are made with RSIDMM-DTM, RS image data mining classification model, based on the Microsoft decision tree mining algorithm. By comparison with ERDAS IMAGINE Expert Classifier´s effects, the experiments show that the RSIDMM-DTM takes spatial relationships and other contextual information into account. In addition, the acquisition, presentation and application of knowledge are highly automatic, and the classification is rather accurate