Hexagon Geospatial
MENU

ERDAS IMAGINE Q&A

ERDAS IMAGINE, the world’s leading geospatial data authoring system, supplies tools for all your Remote Sensing and Photogrammetry needs.
Showing results for 
Search instead for 
Do you mean 

Which eATE settings could improve processing speed?

by YaseminS. on ‎01-10-2017 02:23 PM (561 Views)

Question

When processing large quantities of data under IMAGINE Photogrammetry using eATE how can you improve eATE performance?

 

Answer

eATE is computation intensive and designed to generate high density terrain. Besides parallel processing using multiple cores and distributed processing using Condor to accelerate the processing, you can use a coarser pyramid level. To do this go to the eATE Process Engine Settings and change the Stop at Pyramid Level setting from the default of 0 to 1 or 2. This will accelerate the process but may result in a less accurate surface model.

eATE Manager > Edit > Process Engine Settings > General tab > Stop at Pyramid Level

 

Or, you could choose a point sampling density of 2 or greater in the Process Engine Settings. The default point sampling density of 1 is forcing eATE to correlate every pixel. A point sampling density of 1 provides a more accurate surface but it takes longer.

eATE Manager > Edit > Process Engine Settings > General tab > Point Sampling Density

 

Also, you can uncheck Image Space in the Process Engine Settings under the General tab and then select a coarser match density in Output Settings under the General tab to accelerate eATE processing times. The match density option is grayed out in the Output Settings when Image Space is checked in the Process Engine Settings.

eATE Manager > Edit > Process Engine Settings > General tab > Image Space

eATE Manager > Edit > Output Settings > General tab > Match Density

 

If you are still not satisfied with eATE speed, then you may try the Semi-Global Matching (SGM) algorithm instead. If you want to generate other formats besides LAS you can use the Terrain Prep Tool for format conversion.

 

Contributors