Pārlūkot izejas kodu

updating manual and example images

git-svn-id: https://svn.osgeo.org/grass/grass/trunk@74382 15284696-431f-4ddb-bdfa-cd5b030d7da7
Michael Barton 6 gadi atpakaļ
vecāks
revīzija
93ab34cb4f

+ 10 - 9
scripts/i.pansharpen/i.pansharpen.html

@@ -62,7 +62,7 @@ bands include Landsat 7 ETM, QuickBird, and SPOT.
 The module works for 2-bit to 30-bit images. All images are rescaled to 8-bit
 The module works for 2-bit to 30-bit images. All images are rescaled to 8-bit
 for processing. By default, the entire possible range for the selected bit depth is
 for processing. By default, the entire possible range for the selected bit depth is
 rescaled to 8-bit. For example, the range of 0-65535 for a 16-bit image is
 rescaled to 8-bit. For example, the range of 0-65535 for a 16-bit image is
-rescaled to 0-255). The 'r' flag allows the range of pixel values actually 
+rescaled to 0-255). The 'r' flag allows the range of pixel values actually
 present in an image rescaled to a full 8-bit range. For example, a 16 bit image
 present in an image rescaled to a full 8-bit range. For example, a 16 bit image
 might only have pixels that range from 70 to 35000; this range of 70-35000 would
 might only have pixels that range from 70 to 35000; this range of 70-35000 would
 be rescaled to 0-255. This can give better visual distinction to features,
 be rescaled to 0-255. This can give better visual distinction to features,
@@ -90,24 +90,25 @@ the 3 pan sharpening algorithms differ in terms of spectral response.
 
 
 <h3>Pan sharpening comparison example</h3>
 <h3>Pan sharpening comparison example</h3>
 
 
-Pan sharpening of a Landsat image from Boulder, Colorado, USA:
+Pan sharpening of a Landsat image from Boulder, Colorado, USA
+(LANDSAT ETM+ [Landsat 7] spectral bands 5,4,2, and pan band 8):
 
 
 <div class="code"><pre>
 <div class="code"><pre>
 # R, G, B composite at 30m
 # R, G, B composite at 30m
-g.region raster=p034r032_7dt20010924_z13_10 -p
-d.rgb b=p034r032_7dt20010924_z13_10 g=lp034r032_7dt20010924_z13_20
-    r=p034r032_7dt20010924_z13_30
+g.region raster=p034r032_7dt20010924_z13_20 -p
+d.rgb b=p034r032_7dt20010924_z13_20 g=lp034r032_7dt20010924_z13_40
+    r=p034r032_7dt20010924_z13_50
 
 
 # i.pansharpen with IHS algorithm
 # i.pansharpen with IHS algorithm
-i.pansharpen red=p034r032_7dt20010924_z13_30 green=p034r032_7dt20010924_z13_20
-    blue=p034r032_7dt20010924_z13_10 pan=p034r032_7dp20010924_z13_80
+i.pansharpen red=p034r032_7dt20010924_z13_50 green=p034r032_7dt20010924_z13_40
+    blue=p034r032_7dt20010924_z13_20 pan=p034r032_7dp20010924_z13_80
     output=ihs321 method=ihs
     output=ihs321 method=ihs
 
 
 # ... likewise with method=brovey and method=pca
 # ... likewise with method=brovey and method=pca
 
 
 # display at 15m
 # display at 15m
-g.region raster=ihs321_blue -p
-d.rgb b=ihs321_blue g=ihs321_green r=ihs321_red
+g.region raster=ihs542_blue -p
+d.rgb b=ihs542_blue g=ihs542_green r=ihs542_red
 </pre></div>
 </pre></div>
 
 
 <p>
 <p>

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scripts/i.pansharpen/i_pansharpen_rgb_brovey542.jpg


BIN
scripts/i.pansharpen/i_pansharpen_rgb_ihs542.jpg


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scripts/i.pansharpen/i_pansharpen_rgb_landsat542.jpg


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scripts/i.pansharpen/i_pansharpen_rgb_pca542.jpg