Apply a variance or standard deviation filter to a cube
Overview
Parameters
Example 1
Example 2
Description
This program applies either a variance or standard deviation filter to a
cube. The standard deviation filter is simply the square root of the
variance and is selected by setting the FILTER parameter to STDDEV.
This is the total number of samples in the boxcar.
It must be odd and can not exceed twice the number of samples
in the cube. In general, the size of the boxcar does not
cause the program to operate significantly slower.
This is the total number of lines in the boxcar.
It must be odd and can not exceed twice the number of lines
in the cube. In general, the size of the boxcar does not
cause the program to operate significantly
slower.
Valid minimum pixel value that will be used in boxcar computation. If
a pixel value is less than LOW then it will not be used when
computing boxcar statistics.
Valid maximum pixel value that will be used in boxcar computation. If
a pixel value is greater than HIGH then it will not be used when
computing boxcar statistics.
This is the minimum number of valid pixels which must occur inside the
NxM boxcar for filtering to occur. For example, 3x5 boxcar has 15 pixels
inside. If MINIMUM=10 then the filter will occur if there are 10 or
greater valid pixels. A valid pixel is one that is not special (NULL, LIS,
etc) and is in the range defined by LOW to HIGH.
This option is used to define how special pixels are handled. If the
center pixel of the boxcar is a special pixel it will be propagated
or set to NULL depending on the value of this parameter.