光栅数据 是由覆盖空间区域的网格值所定义的非几何数据。
Raster data is non-geometric data defined by a grid of values covering a spatial area.
比如 10 米乘 10 米的网格，取每个交叉点的值（共有 100 组）就形成一个光栅数据集。
Taking a 10-meter-by-10-meter grid and making one observation for each intersection (100 observations) would constitute a raster dataset.
首先对图纸的光栅图像进行字符分离，利用均匀网格方法抽取字符特征，用BP神经网络进行训练和识别。
After characters are divided from the raster image, the features of characters are extracted by symmetrical grids and then are inputted into BP neural network for further analysis.
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