为此，基于商空间的粒度分解和粒度合成原理，综合粗糙集和聚类算法对之进行改进。
Therefore, rough set and cluster methods are integrated based on granularity decompose and granularity synthesis theory of quotient space to improve this algorithm.
文章将商空间粒度计算引入SAR图像的分类中，结合SAR图像特性，提出了一种基于粒度合成理论的SAR图像分类方法。
In this paper, combining the SAR imaging mechanism, the theory of granular computing of quotient space based SAR image classification algorithm is proposed.
这种关系允许 Spring 中创建的本地服务（细粒度的）被公开，以便与 EJB 等其他编程模型合成。
This relationship enables local services (fine grained) created in Spring to be exposed for composition with other programming models, such as EJB.
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