Hello,
Is it possible to apply nonlinear scaling to classify
floating point tiff rasters.
All examples that I have seen appear to assume a linear
dataset.
If I wish to scale the data by the base 10 log
of the data and then scale the Red, Green and Blue values
of the classification, can I do
Peter Willis wrote:
Hello,
Is it possible to apply nonlinear scaling to classify
floating point tiff rasters.
All examples that I have seen appear to assume a linear
dataset.
If I wish to scale the data by the base 10 log
of the data and then scale the Red, Green and Blue values
of the
Thanks Frank,
That helps somewhat.
It's going to be a bit of a bear making a 256 color lookup
that way. I guess I can script the CLASS lookup sections of
the map file(s).
Peter
Frank Warmerdam wrote:
Peter Willis wrote:
Hello,
Is it possible to apply nonlinear scaling to classify
Frank Warmerdam wrote:
There isn't anything magical about 256.
256 or better raster scales sure are pretty though :)
Seriously though, the raster data is floating point log data
with relatively random spatial distribution. Short of making
two images, one log float and one anti-log float,
Peter Willis wrote:
Frank Warmerdam wrote:
There isn't anything magical about 256.
256 or better raster scales sure are pretty though :)
Seriously though, the raster data is floating point log data
with relatively random spatial distribution. Short of making
two images, one log float
