栅格化¶
重新投影和栅格化矢量数据集
描述¶
重新投影和栅格化矢量数据集。栅格化输出的网格可以通过使用参考图像或通过手动设置所有参数(原点、大小、间距)来设置。在后一种情况下，至少需要间距(地面采样距离)(其他参数自动计算)。栅格化的输出也可以位于与输入数据集不同的投影参考系中。
该应用程序中有两种可用的栅格化模式。第一种是二进制模式：它允许以前景色呈现属于输入数据集的几何图形的所有像素，同时以背景色呈现另一个像素。第二种方法允许根据几何体的属性来呈现属于该几何体的像素。要呈现的属性的字段可以由用户设置。在第二种模式中，背景值仍用于未关联的像素。
参数¶
Input vector dataset -in vectorfile Mandatory
The input vector dataset to be rasterized
Output image -out image [dtype] Mandatory
An output image containing the rasterized vector dataset
Input reference image -im image
A reference image from which to import output grid and projection reference system information.
Output size x -szx int
Output size along x axis (useless if support image is given)
Output size y -szy int
Output size along y axis (useless if support image is given)
Output EPSG code -epsg int
EPSG code for the output projection reference system (EPSG 4326 for WGS84, 32631 for UTM31N...,useless if support image is given)
Output Upper-left x -orx float
Output upper-left corner x coordinate (useless if support image is given)
Output Upper-left y -ory float
Output upper-left corner y coordinate (useless if support image is given)
Spacing (GSD) x -spx float
Spacing (ground sampling distance) along x axis (useless if support image is given)
Spacing (GSD) y -spy float
Spacing (ground sampling distance) along y axis (useless if support image is given)
Background value -background float Default value: 0
Default value for pixels not belonging to any geometry
Rasterization mode -mode [binary|attribute] Default value: binary
Choice of rasterization modes
- Binary mode
In this mode, pixels within a geometry will hold the user-defined foreground value - Attribute burning mode
In this mode, pixels within a geometry will hold the value of a user-defined field extracted from this geometry.
实例¶
从命令行执行以下操作：
otbcli_Rasterization -in qb_RoadExtract_classification.shp -out rasterImage.tif -spx 1. -spy 1.
来自Python的评论：
import otbApplication
app = otbApplication.Registry.CreateApplication("Rasterization")
app.SetParameterString("in", "qb_RoadExtract_classification.shp")
app.SetParameterString("out", "rasterImage.tif")
app.SetParameterFloat("spx", 1.)
app.SetParameterFloat("spy", 1.)
app.ExecuteAndWriteOutput()