On Multi-granular Labeled Classification for Spatial Remote Sensing Data
空间遥感数据的多粒度标记分类

This paper studied the discovery of classification rules for remote sensing data with multi-granular labels. According to the different physical meaning of land cover, we first obtained a multi-scale decision table, and then discovered the classification rules bided in the multi scale decision table. Finally, we analyzed the accuracy of the classification.