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I have a landsat image, and when I crop out a small subset of the image the colors are totally different. It's a question of matching the colors of the new clipped landsat image against the original-full extent landsat image. It's not simply restoring the colors to the same image. Any advice?
Thanks again for the reply.
If your clipped image looks different in color than the original imagery after clipping, it might just be the stretch type being used for the raster. If the statistics of an image is calculated (for example, when clipping), by default ArcMap displays it with a stretch of standard deviation. For the clipped raster, from symbology, change the stretch type to "None" and see if the image looks like the original image. Here's a blog "Is your raster so bright you have to wear shades?" which discusses about this issue. I hope this helps!!
Stephen: I realise it has been over 4 years since this post, but this certainly solved my issue. I was so worried because the image on which I had been working (for over 8 hours) had resulted in a stretched version. I was thinking that I may have to restart my entire mosaic. Thankfully, this saved me hours of work :-).
Archives for the win!
Save as a Layer File may help?
Ok, I found a fix for this. The stretch is adjusting the histograms for the RGB data, but it is relying on an incomplete data set compared to the composite image you made with the Landsat data. What you need to do in the symbology is make sure your RGB bands are correct for the Landsat source, then under the 'statistics' tab choose "custom" from the statistics drop down. Now you can enter the min and max for each channel, if you set these min and max values to match the unclipped composite image you made, the colorization should match. I had the same issue and this solved it.