Raster Resampling

Function Description

The pixel values or derived values of the original Raster Dataset are assigned to the pixels of the newly generated Raster Dataset, and the resolution of the Raster Dataset can be changed at the same time.

Function entrance

  • Data tab-> Data Processing-> Grid-> Resample.
  • Toolbox-> Data Processing-> Grid-> Resampling.

Operating instructions

  • Source Data: Select the Datasource and Dataset where the Dataset to be resampled is located. Multi-band Image Data is not supported.
  • Source Info: Displays the resolution and the number of rows and columns of the Source Dataset.
  • Parameter Settings
    • Sampling Mode: SuperMap provides three raster Resampling Methods: Nearest, Bilinear, and Cubic. See the Introduction to the Grid Resampling Method for a description of each method.
    • Resolution: Set the resolution of the output Raster Dataset. The default resolution is 2 times the input Raster Dataset resolution.
    • Column number: The column number of pixels in the output Raster Dataset. It cannot be modified manually and is controlled by the resolution parameter. The default number of columns is 1/2 the number of input Raster Dataset columns.
    • Number of lines: The number of lines of pixels in the output Raster Dataset, which cannot be modified manually and is controlled by the "Resolution" parameter. The default number of rows is 1/2 of the number of Raster Dataset rows entered.
  • Result Data: Select the Datasource where the Result Dataset is located. It is the same as the Source Datasource by default. And set the name of the Result Dataset, which is the same type as the Source Dataset.
Figure: Grid Re sample Result comparison

Related topics

Data Update

Image Composite

Raster Reclassifying

Raster Mosaic

Grid aggregation

Raster Splice

Extract Outline