Understanding DEM detail and pixel sampling

DEM extraction uses image correlation to find matching features on the left and right image of a stereo pair. The best way to find these matching features is a hierarchical approach using a pyramid of reduced resolution images.

The first attempt at correlation is performed on very coarse versions of the images. This allows OrthoEngine to match prominent features accurately, which forms the basis for further correlation attempts. The next correlation attempts are performed to match finer features on higher and higher resolution versions of the images. Finally, correlation is performed on images at full resolution, which provides the highest precision for the terrain in the digital elevation model (DEM). This correlation technique speeds up the image correlation process and reduces the number of mismatches.

DEM Detail determines how precisely you want to represent the terrain in the DEM. Selecting Extra High, High, Medium, or Low determines at which point in correlation process you want to stop.

Available options are:

Pixel Sampling controls the size of the pixel in the final DEM relative to the input images. The higher the number you specify, the larger the DEM pixel will be, and the faster the DEM is processed.

Figure 1. Explaining Pixel Sampling

Depending on the results you anticipate, you can use different combinations of these two features. For example, you may want to have:

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