improve performance of gap-filling

Applied-GeoSolutions / lidar2dems

Utilities using PDAL and PCL to create DTMs, DSMs, and CHMs from lidar data

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improve performance of gap-filling #4

Open matthewhanson opened 9 years ago

matthewhanson commented 9 years ago

Gap-filling, especially for large images, can take a long time. It uses numpy to fill the vales, and ends up interpolating for all points outside the boundary of data.

Two options, or perhaps both, to speed this up: 1 - implement gap-filling with a general GIPPY function 2 - incorporate mask so that interpolation does not occur outside site boundaries

matthewhanson commented 9 years ago

related to issue #2

matthewhanson commented 9 years ago

Gap-filling one product for Polygon 003 took 2 hours 50 minutes.

For DSM there is 1 product (max), and for DTM there are 3 (min, max, idw)

matthewhanson commented 9 years ago

Gap-filling was improved with v0.2.0rc1 however, the options given here would still be viable to improve further.