空间遥感数据的多粒度标记分类

On Multi-granular Labeled Classification for Spatial Remote Sensing Data

以空间遥感数据为研究对象,研究多粒度标记数据的分类问题。首先,根据地表物的不同物理含义,可以得到一个多粒度的决策表。然后,通过知识约简发现隐藏在多粒度决策表中的if-then分类规则。最后,根据实际的遥感数据给出分类的精度。

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 hided in the multi-scale decision table.Finally,we analyzed the accuracy of the classification.