The Influence of Quality Setting in SURE

Intro

With SURE you can choose to run a Project in Quality Ultra or High. The default Quality varies depending on the scenario.

Scenario

Default Quality

Aerial Nadir

Ultra

Aerial Oblique

Ultra

Default (UAVs, Close Range)

High

The choice of a Scenario (necessary for the configuration of a SURE Project) implies a default Quality Setting. It is highly recommended to keep this value unchanged during production.

This article elaborates on how the Quality Setting reflects on the results and their production.

Interface

GUI

CLI

-q, --quality <quality>

Set quality (ULTRA, HIGH)

Functionality

The Quality Setting primarily refers to the resolution of the Input Images used for the 3D reconstruction. Quality Ultra means that the Input Images are used at their original (full) resolution. When choosing Quality level High, the Input Images are down-sampled once. Therefore, the size of one pixel in object space gets doubled.

Independently of the image resolution used for the 3D reconstruction (dense image matching), SURE uses the full image resolution for texturing the final results (True Orthos, meshes).

The choice of quality setting affects the resolution of results and the processing performance.

Resolution of results

The quality level has a direct impact on the level of geometric detail of the resulting reconstruction. The depth precision of the reconstructed points is maximized when quality Ultra is used. A higher depth precision leads to an increase in edge sharpness and generally more accuracy in the final results.

SURE estimates the nominal Ground Sampling Distance of the input images, at the selected quality level, in order to use it as pixel size for the output raster products (DSM, True Ortho).

Ultra

High

Processing performance and disk space requirement

The number of reconstructed points will naturally decrease, as the Quality level is lowered, because of the smaller number of pixels in the down-sampled images being matched. For Quality High, the density of points decreases by a factor of 4, approximately.

For generating raster products, we recommend to use a GSD parameter, that is similar to the GSD of the Input Images used for Dense Matching.

Best Practice

Recommended Quality Setting

Scenario

Products

Ultra

Aerial Nadir

  • DSM

  • True Ortho

  • DSM Mesh

Aerial Oblique

  • Point Cloud

  • Mesh

High

Default

  • DSM

  • True Ortho

  • DSM Mesh

  • Point Cloud

  • Mesh

Further reading

SURE Project Configuration

Scenario

Production with SURE - Best Practices