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<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Hi Mark,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">That’s how LUT works. In Mapserver 7.0 final it should be possible to set LUT and other PROCESSING options easily from the client side by using variable substitution which may be an interesting thing
to test with some image interpretation tasks. It can be difficult to find details from the shadows and from light areas of the image with fixed settings of with automatic min-max stretch. It will also be possible to look at natural colour or false infrared
versions from 4-band imagery be selecting the BANDS on-the-fly.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Gdalinfo can also be used for finding reasonable values for LUT correction:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">gdalinfo –stats test.tif<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">…<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Band 1 Block=1330x2 Type=Byte, ColorInterp=Red<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"> Minimum=13.000, Maximum=228.000, Mean=98.964, StdDev=32.305<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">…<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Band 2 Block=1330x2 Type=Byte, ColorInterp=Green<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"> Minimum=4.000, Maximum=227.000, Mean=76.644, StdDev=30.583<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">…<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Band 3 Block=1330x2 Type=Byte, ColorInterp=Blue<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"> Minimum=6.000, Maximum=222.000, Mean=77.977, StdDev=30.138<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">…<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">I am not sure if anybody is using an option to make detailed correction curves with GIMP but I have tested it sometimes and it works.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">-Jukka Rahkonen-<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">Mark Volz wrote:<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Jukka, (and others)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">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:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">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:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">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.
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">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.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">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.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">P.S. <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">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:<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">PROCESSING "LUT=50:50,60:250,70:250" is a good way to identify tree cover.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">PROCESSING "LUT=50:50,60:250,70:70" is a good way to identify wet areas.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Thank You<o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Sincerely,<o:p></o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US" style="font-size:12.0pt;color:#1F497D">Mark Volz, GISP<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">From:</span></b><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif""> Rahkonen Jukka (MML) [</span><a href="mailto:jukka.rahkonen@maanmittauslaitos.fi"><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">mailto:jukka.rahkonen@maanmittauslaitos.fi</span></a><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">]
<br>
<b>Sent:</b> Monday, May 25, 2015 9:18 AM<br>
<b>To:</b> Mark Volz; </span><a href="mailto:mapserver-users@lists.osgeo.org"><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">mapserver-users@lists.osgeo.org</span></a><span lang="EN-US" style="font-size:10.0pt;font-family:"Tahoma","sans-serif""><br>
<b>Subject:</b> Re: stretching imagery in MapServer<o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D">Hi,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="color:#1F497D"><o:p> </o:p></span></p>
<pre><span lang="EN-US" style="font-size:10.0pt;color:#1F497D">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= “<o:p></o:p></span></pre>
<pre><span lang="EN-US" style="font-size:10.0pt;color:#1F497D"><o:p> </o:p></span></pre>
<pre><span style="font-size:10.0pt;font-family:"Courier New"">-Jukka Rahkonen-<o:p></o:p></span></pre>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">Mark Volz wrote:<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span lang="EN-US">Hello,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">I added our new Pictometry Air Photos on our mapping site at
</span><a href="http://geomoose.lyonco.org/geomoose2/geomoose.html"><span lang="EN-US">http://geomoose.lyonco.org/geomoose2/geomoose.html</span></a><span lang="EN-US">. 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.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Thanks<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Sincerely,<o:p></o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US" style="font-size:12.0pt">Mark Volz, GISP<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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