Data Mining in Remote Sensing

    Data mining refers to mining or extracting knowledge from large amounts of data. In fact, data mining should have been more appropriately named "knowledge mining from data". 

    Advanced data mining techniques, such as classification, regression, association, and correlation, were broadly applied in the field of remote sensing. Classification and regression were the two most popular algorithms applied in remote sensing, which dedicated to extract land use features, from the remote sensing imagery.