一种基于全球格网的面状目标栅格化方法

A Rasterized Method of Area Target Based on Global Grid

针对当前面状目标栅格化结果一致性表达、栅格化精度和数据冗余等问题,提出了一种基于多层级全球格网模型的面状目标栅格化方法。首先,对全球地理空间进行多层级网格划分与编码构建全球格网剖分模型;其次,依据全球格网模型与面状目标的外轮廓点计算面状目标多层级栅格化网格;最后,按照自下而上的方式,聚合多层级栅格化网格,选取聚合后栅格化网格作为面状目标栅格化结果。实验表明,该方法在保证栅格化精度的同时,能极大地减少栅格数据量,具有一定的推广使用价值。

Aiming at the problems of results consistent representation,accuracy and data redundancy of object rasterization at present,a rasterized method of area target based on multi-level global grid method is proposed.Firstly,a global grid subdivision model is constructed by multi-level grid division and coding in global geographic space.Then,according to global model and outer contour points of area target,the multi rasterized grids of area target are calculated.Finally,according to the bottom-up method,the multi-level rasterized grid is aggregated,and the rasterized grid after polymerization is selected as the rasterized result of area target.The experiment indicates that the method can greatly reduce the amount of grid data while ensuring the accuracy of rasterization,which has a certain popularization value.