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Kris,<br>
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I would like to have your script; thanks.<br>
<br>
Tom<br>
<br>
<br>
<br>
Wolfgang von Hansen wrote:<br>
<blockquote type="cite"
cite="mid200401140843.i0E8hgQ08047@mailgate5.cinetic.de">
<pre wrap="">Kris Nackaerts <a class="moz-txt-link-rfc2396E" href="mailto:knackaerts@gmx.net"><knackaerts@gmx.net></a> schrieb am 13.01.04 22:09:11:
</pre>
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<pre wrap="">I had the same problem when trying to visualize hyperspectral images. I
created a script in R (<a class="moz-txt-link-abbreviated" href="http://www.r-project.org">www.r-project.org</a>) to analyze the histogram
output files and create a GRASS script automatically to correctly
rescale the values for visualisation. I could then say like remove the
5% tails.
</pre>
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<pre wrap=""><!---->
I just wrote a small shell script myself which basically uses r.stats, awk and r.colors. Now everything is looking fine!
</pre>
<blockquote type="cite">
<pre wrap="">If you are interested in this script, let me know. Otherwise, I also
used just a PCA transform to get a first impression of what was in the
images.
</pre>
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<pre wrap=""><!---->
For the visualization of multispectral data it normally is sufficient to choose some interesting bands by their wavelength, but I agree with you that PCA is a good preprocessing step for visual inspection of a large number of bands.
Wolfgang
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<br>
<pre class="moz-signature" cols="72">--
Thomas E Adams
National Weather Service
Ohio River Forecast Center
1901 South State Route 134
Wilmington, OH 45177
EMAIL: <a class="moz-txt-link-abbreviated" href="mailto:thomas.adams@noaa.gov">thomas.adams@noaa.gov</a>
VOICE: 937-383-0528
FAX: 937-383-0033</pre>
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