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Hi Kaixi, What kind of raster are you applying this function to? I am getting a blank output when i apply this to rasters. Jamie
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01-18-2018
10:14 AM
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Hi Spring, What kind of input data are you using for this? Are you applying this as a template on a mosaic dataset or are you just using a raster dataset and image service as an input to the function itself? Is there already a template applied to the image service before you publish it or are the raw pixels being transmitted in the image service? Would it be possible for you to send the Python function? Jamie
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01-16-2018
03:33 PM
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We are noticing somewhat slow behavior when adding several rasters from a network location using this control. It was validating every record it was adding to the table control. Didn't really notice it so much when adding rasters locally (i tried 500) but that could still be the case for you depending on hardware configuration. We will have this fixed for the next release. Sorry for the inconvenience.
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08-17-2016
04:31 PM
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Hi David, Thanks for letting us know about this. We will investigate and get back to you. Are all the rasters that you are using local or are some of them on a network. I can only see half of your list in the screenshot.
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08-15-2016
03:33 PM
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Hi Subu Swaminathan Can you send us a little bit more information on the problem that you are running into? We would like to try to get a repro case and fix this issue if possible. What kind of imagery are you adding to your mosaic dataset? How many images are you loading? Are you building overviews? Are you using a product definition when creating your MD?
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07-29-2016
01:00 PM
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The spectral bandwidth of the pan only covers blue (just a little), green, yellow, red, red edge and NIR (just a little) MS bands. So the most you can pan sharpen would be 6 bands, but the common bands would be 4 bands b, g, r, nir. Compute pan sharpen weights for Gramm Schmidt would give you the weights tailored for his specific image. This method is only available at 10.1 and later. You could sharpen b,g,y as one 3-band composite image and then ps r, re, nir for the 2nd 3-band composite, then combine them into one 6-band pansharpened image. You could even include the coastal and NIR2 unsharpened bands in this last composite image if you want all 8 bands. This would have to be done manually using the extract band/pansharpen function or suing the pan sharpen gp tool.
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04-09-2014
10:09 AM
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Hi Beata, Are the rasters gray when you zoom in really close? Rasters typically display as gray when you don't have service overviews built. Base rasters in a mosaic dataset are only designed to display up to a certain scale. Beyond that scale these rasters will display as gray. It is recommended that you build service overviews on your mosaic dataset which will display at higher scales and ultimately improve overall performance. You can build overviews in one of two ways: 1. Right click on the mosaic dataset in ArcCatalog. Select 'optimize > build overviews'. 2. In ArcToolbox Navigate to 'data management tools > raster > mosaic dataset > build overviews'. I hope this helps.
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12-06-2012
09:03 AM
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Hi Mark, The edge detection computation method was designed to automatically generate seamlines along the edges of features such as roads, buildings and streams. It was accidentally left out of the help document and and tool context help at service pack 1. We will try to get this documented as as soon as possible. Sorry for the inconvenience. Jamie
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11-30-2012
12:52 PM
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Hi Nathan, What version are you using? If you are using 10.1 you can set the product definition to world view 2(8 band) when creating a new mosaic dataset. When you add rasters to this mosaic dataset the default raster type will be set to worldview2. You can navigate to the .imd (or a folder if you are adding multiple scenes). At this point you can click on the button next to the raster type and turn on pan sharpening the the processing templates dropdown in the general tab. If you want to modify some of the defaults for the pan sharpening function you can go to the functions tab and right click on the pan sharpen function. This should maintain all 8 bands when you are finished. Let me know if you have any questions. Jamie
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11-29-2012
12:04 PM
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Hi David, You can do this in ArcGIS but it would require you to use Python. The method you would want to use is RasterToNumPyArray. Once you convert your raster to an array you can query it using numpy in Python. Here is a basic code sample.
import numpy
import arcpy
myArray = arcpy.RasterToNumPyArray('C:/data/inRaster')
pixelvalue = myArray[1,0]
print pixelvalue
The first value in the array will start at 0,0. I hope this helps. Jamie
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10-23-2012
09:27 AM
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Hi David, If you want to extract the actual pixel value and place it into an attribute table of a point feature class you can use the extract values to points tool in the spatial analyst extraction tool set. If you actually want to clip the raster to a point feature class and essentially end up with a raster that contains a single pixel under each point you can use the extract by mask tool in the spatial analyst extraction tool set. Jamie
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10-22-2012
02:27 PM
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Hi Jerry, You can do this suing the extract by mask tool for the spatial analyst 'extraction' toolset. Jamie
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11-03-2011
08:12 AM
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Hi Greg, What service pack are you running. I was working with someone that was experiencing the same behavior. It was resolved by installing service pack 2. Try installing the service pack from here: http://resources.arcgis.com/content/patches-and-service-packs?fa=viewPatch&PID=160&MetaID=1752 Hope this helps. Jamie
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09-07-2011
12:17 PM
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