Processing time factors


The processing time depends on multiple factors:

  • size of the dataset, 
  • processing stages and processing parameters used, 
  • complexity of the scene itself,
  • overlap ratio,
  • hardware configuration. 


Cloud processing performed on hardware with configuration described below.


CPU   32 vCPU (2.7 GHz Intel Xeon E5 2686 v4)

GPU    

 2 x NVIDIA Tesla M60
RAM    240 GB


To estimate processing time needed for your project, refer to the descriptions of a sample projects processed in the cloud.


Drone aerial survey sample project


Project parameters.

Camera     FC6310 (8.8mm)
Image size  16 MP (4864 x 3648);
Single photo file size (JPG) 7.5 MB
Number of images100
Side/Forward overlap 70%;
Flight altitude 320m;
GSD8 cm;
Area    1.35 sq.km;


Processing time.

Match Photos1m 48s
Align Photos (Highest Accuracy with reference preselection)25s
Build Depth Maps36m 23s
Build Dense Cloud (Ultra high quality)29m 23s
Build DEM3m 13s
Build Orthomosaic 6m
Total time1hr 20 min


Aircraft aerial survey sample project


Project parameters.

Camera    PhaseOne iXM-RS150F (70mm) 
Image size  150 MP (14204 x 10652); 
Single photo file size (TIF)  432 MB Sing
Number of images100
Side/Forward overlap 40/60%;
Flight altitude 811 m;
GSD4.25 cm;
Area    3.0 sq.km;


Processing time.

Match Photos8m 6s
Align Photos (Highest Accuracy with reference preselection)24s
Build Depth Maps15m 31s 
Build Dense Cloud (Low quality)3m 13s 
Build DEM20s 
Build Orthomosaic 21m 57s 
Total time0h 50m