Hot answers tagged mosaic
4
Well, I found the answer. Esri did in fact answer this with an in depth presentation at the 2010 San Diego User Conference called "Managing Imagery and Raster Data in ArcGIS". Here is the link for anyone else who is interested:
http://gis.idaho.gov/portal/pdf/Framework/Imagery/ManagingImageryRaster.pdf
My short summary of this is:
Raster Catalog is on ...
3
Try gdal_merge. You can grab the GDAL framework from William Kyngesburye's website.
Instructions for utilizing gdal_merge can be found here.
2
I would advise against image processing with R. Rather, I would revisit mosaicing your imagery with ArcGIS. I used the following model recently to mosaic approximately 40 1m CIR raster images into a 25 GB mosaic (shown below). ArcGIS is definitely capable of large scale processing if you do it correctly. A few ideas:
Make sure to set the raster storage ...
2
You can specify the parallel processing factor in the Mosaic environment settings (See attached image), which is new to ArcGIS 10.1 SP1. However, be cautious with this method since ESRI's documentation is very minimal and bordering on cryptic. I would do some timed runs (and share your findings here) before implementing these environment settings on very ...
2
I have a solution!
It IS because of the old and infuriating GDAL upside-down export to GeoTiff (see my comments above)! Before anybody tells me that this has been fixed - I agree it does appear to be fixed but I was using a mixture of data converted with a older version of GDAL about 4 years ago and data I converted with the latest version of GDAL about 3 ...
2
Sadly, no. Not in 2.0. 2.1 should provide significant performance improvement over 2.0.
No matter what you attempt in the database with 2.0, you are limited by the number of times the raster objects are serialized/deserialized.
PostGIS 2.1 should be going beta in the next week or two (hopefully sooner than later).
2
There is a GRASS GIS 7 Addon, i.histo.match which performs histogram matching on the given input images. The histogram matching method is based on the method Cumulative Distribution Function (CDF) of two or more histograms. For RGB images you will mosaic them color by color. If needed, a post-mosaic color optimization can be achieved with i.landsat.rgb (it ...
1
why MICRODEM with Parallels when you have many native possibilities on Mac ? .
Applications:
GRASS GIS from William Kyngesburye's website, for example, the best one.
GvSIG which can handle DEMs
OSSIM and OSSIMPLANET specialized in working with DEMs
LandSerf specialized in working with DEMs
in the shell:
GDAL as as pointed out by ShaunLangley
Python ...
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