This is an important consideration when discriminating between vegetation types, locating an edge associated with a lineament, or determining different levels of turbidity or temperatures. Suitable for use before classification. Data values may be dropped, while other values may be duplicated. The easiest of the three methods to compute and the fastest to use. Since pixels are averaged, bilinear interpolation has the effect of a low-frequency convolution.
Edges are smoothed, and some extremes of the data file values are lost.
Uses 4 X 4 resampling. In most cases, the mean and standard deviation of the output pixels match the mean and standard deviation of the input pixels more closely than any other resampling method. Data values may be altered. The actual effects will depend upon the data being used. The most computationally intensive resampling method, and is therefore the slowest.