数据矢量化 meaning in Chinese

data vectorization

With the development and application of database technology and vector map technology ， large quantities of spatial data have been produced and stored in spatial database and spatial data warehouse
随着数据库应用技术以及空间数据矢量化技术的迅速发展，人们积累的数据越来越多，大量的空间数据存储在空间数据库中。
The main conclusions are following : ( 1 ) compared with the conventional mlc , the method of iterative prior probability based on the vector map can dispel the prior probability ’ s influence and the overall accuracy and kappa index can be improved ; ( 2 ) to the types with greater area than average area of all types , the producer ’ s accuracy will be improved while user ’ s accuracy be lessened , but to the ones with smaller area , the situation is just the opposite
本研究的主要结论是: ( 1 )与传统的最大似然法分类相比,利用地理数据矢量化得到的先验概率进行迭代,可进一步消除先验概率对最大似然分类法分类结果的影响,使分类总精度和kappa指数有进一步提高; ( 2 )分布面积大于平均值的类别,生产者精度一般会变高,使用者精度会变低;分布面积小于平均值的类别,生产者精度一般会变低,使用者精度会变高。