Hi Mark. Two questions for you:
1) I know it might be a bunch of extra work, but I don't suppose you
could post some before and after shots (or urls or whatever). I really
have no idea what sort of change your talking about.
2) Holy freaking cow you have fast imagery. I don't suppose you could
share some processing/hardware/setup secrets?
Thanks
-Andy
On 5/26/2015 2:07 PM, Mark Volz wrote:
Jukka, (and others)
Thank you for your reply. I think I figured out how lut works. If you
don’t mind please check and make sure I have this correct:
I can use ArcGIS to report the correct input and output values for a
n=2.5 standard deviation by going to
layers->symbology->stretch->histograms->Info window. Once I have those
values I can modify my map file to include for example:
PROCESSING "LUT_1=73:0,226:255" #changes red band input of 0-73 to 0,
inputs of 226-255 to 255, inputs between 73-226 linearly interpolated.
PROCESSING "LUT_2=60:0,199:255" #changes green band input of 0-60 to 0,
inputs of 199-255 to 255, inputs between 60-199 linearly interpolated.
PROCESSING "LUT_3=35:0,155:255" #changes blue band input of 0-35 to 0,
inputs of 155-255 to 255, inputs between 35-155 linearly interpolated.
P.S.
Before I knew what the heck I was doing with LUT I noticed that I could
identify wet areas, and tree cover quite easily with the following
combinations:
PROCESSING "LUT=50:50,60:250,70:250" is a good way to identify tree cover.
PROCESSING "LUT=50:50,60:250,70:70" is a good way to identify wet areas.
Thank You
Sincerely,
*Mark Volz, GISP*
*From:*Rahkonen Jukka (MML) [mailto:[email protected]]
*Sent:* Monday, May 25, 2015 9:18 AM
*To:* Mark Volz; [email protected]
*Subject:* Re: stretching imagery in MapServer
Hi,
As far as I know automatic stretch by standard deviation is not supported. You can do
automatic min-max stretch with PROCESSING "SCALE=AUTO". If your source data is
uniform you may reach a good result with manual scale settings or with PROCESSING “LUT= “
-Jukka Rahkonen-
Mark Volz wrote:
Hello,
I added our new Pictometry Air Photos on our mapping site at
http://geomoose.lyonco.org/geomoose2/geomoose.html. The air photos seem
somewhat washed out. In ArcGIS I was able to get a nicer looking image
by stretching the air photo using standard deviations. Can we stretch
imagery in MapServer? If not please let me know if you have a comment
regarding how I can improve the image quality.
Thanks
Sincerely,
*Mark Volz, GISP*
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