Resampling of Pixel Values: Its Types and Uses (Especially for GATE-Geospatial 2022)

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The geometric transformation of a satellite image results in a new image based on a projected coordinate system but the new image has no pixel values. Resampling is the process of determining new values for cells in an output raster that result from applying a geometric transformation to an input raster dataset. The method of Resampling is a nonparametric method of statistical inference.

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Resampling Methods

Three common resampling methods are nearest neighbor, bilinear interpolation and cubic convolution. We will discuss these in next topic

Uses of Resampling

  • Geometric transformation of satellite images.
  • Resampling is needed whenever there is a change of cell location or cell size between the input raster and the output raster. For example, projecting a raster from one coordinate system to another requires resampling too fill in the cell values of the output raster.
  • Pyramiding is a common technique for displaying large raster data sets. Resampling is used with pyramiding to build different pyramid levels. Its application, resampling typically uses one of the three methods covered to produce the output raster.

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