The hausdorff command is used to compute the Hausdorff distance between two point clouds. In this context, the Hausdorff distance is the greatest of all Euclidean distances from a point in one point cloud to the closest point in the other point cloud.

More formally, for two non-empty subsets \(X\) and \(Y\), the Hausdorff distance \(d_H(X,Y)\) is

\[d_H(X,Y) = \operatorname*{max} \big\{ \operatorname*{sup}_{x \in X} \operatorname*{inf}_{y \in Y} d(x,y), \operatorname*{sup}_{y \in Y} \operatorname*{inf}_{x \in X} d(x,y)\big\}\]

where \(\operatorname*{sup}\) and \(\operatorname*{inf}\) are the supremum and infimum respectively.

$ pdal hausdorff <source> <candidate>
--source arg     Non-positional option for specifying filename of source file.
--candidate arg  Non-positional option for specifying filename to test against source.

The algorithm makes no distinction between source and candidate files (i.e., they can be transposed with no affect on the computed distance).

The command returns 0 along with a JSON-formatted message summarizing the PDAL version, source and candidate filenames, and the Hausdorff distance. Identical point clouds will return a Hausdorff distance of 0.

$ pdal hausdorff source.las candidate.las
  "hausdorff": 1.303648726,
  "pdal_version": "1.3.0 (git-version: 191301)"


The hausdorff is computed for XYZ coordinates only and as such says nothing about differences in other dimensions or metadata.