计算机科学 ›› 2012, Vol. 39 ›› Issue (4): 23-27.

• 综述 • 上一篇    下一篇

空间遥感数据的多粒度标记分类

吴伟志,杨玉芳   

  1. (浙江海洋学院数理与信息学院 舟山316004)
  • 出版日期:2018-11-16 发布日期:2018-11-16

On Multi-granular Labeled Classification for Spatial Remote Sensing Data

  • Online:2018-11-16 Published:2018-11-16

摘要: 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。

关键词: 分类,遥感,多粒度,粒计算,粗糙集

Abstract: 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.

Key words: Classification,Remote sensing,Multi-scale,Uranular computing,Rough set

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