The algorithm (Gram-Schmidt) produces much better high-resolution clarity

larryzhang — Mon, 04 Feb 2013 03:19:17 GMT

Hi, colleagues

The pan-sharpening algorithm of Gram-Schmidt within Mosaic Dataset model 10.1 produces much better high-resolution clarity on color image against many other popular algorithms. As an example, for GeoEye-1, when zoom-in up to 1:500 (its full resolution roughly at 1:1800), it still can exhibit good
clarity, which shows much clearer features (i.e., features not split at all).

It looks really powerful and amazing. Personally, it will challenge the use of 20 ~ 30-cm resolution airphotos in practice.

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PS.,

On our practices, the pan-sharpening algorithm of Gram-Schmidt still makes unacceptable color recovery (not in nature) at most cases, so that it is really hard for Mosaic Dataset model to ???automatically??? adjust unbalanced colors among massive tiles, including the use of combination with the best algorithm ???Edge Detection???.

Secondly, as a well-known issue, users have been also looking forward to more flexible capability 'inside' Mosaic Dataset model to ???directly??? deal with GCP (Ground Control Points) such as surveying, GIS references, and raster imagery references for spatial improvement.

Finally, as an operational issue, users are eager to have an efficient ArcTool to automatically ???Export??? processed images from Mosaic Dataset ???as batch???, which is individually named on ???field' name of feature class.

topic The algorithm (Gram-Schmidt) produces much better high-resolution clarity in ArcGIS Image Server Questions

The algorithm (Gram-Schmidt) produces much better high-resolution clarity