Regarding the classification of point cloud I think that Pix4D should have options to be inserted by the user to better assist in this step. I think Pix4D is an excellent software! Very robust and with an intuitive interface. In the future, more training data will be used to improve the algorithm and give more reliable classification results for different types of projects. Mountains, quarries and concrete buildings might need further editing. To learn more about the classification algorithm: Advanced knowledge - Scientific papers.ĭepending on the quality of the dataset and the type of terrain, there are areas where the classification is not expected to perform perfectly and there is a need for manual intervention. High vegetation and buildings are well-detected and classified. The process performs well for environments similar to the ones of the datasets used for training the algorithm, such as rural, construction and vegetation areas. Both the geometry and the color information are used to assign the points of the densified point cloud in one of the predefined groups. The point cloud classification is based on machine learning techniques which require training on labelled data. Click Browse. to navigate to the path where the point group is saved. On the menu bar, click Process > Run Point Cloud Classification.ħ.

In order to perform the point cloud classification after processing step 2. In the section Point Cloud Classification, select the box Classify Point Cloud.On the menu bar, click Process > Processing Options.In order to perform the point cloud classification while processing step 2.

Point Cloud and MeshĪfter processing step 2. The point cloud classification can be performed:ĭuring processing step 2. Each point is automatically classified in one of the following predefined groups: This process computes a point cloud classification using the densified point cloud that is generated during step 2.Point Cloud and Mesh. The point cloud classification requires a georeferenced project.

DSM, Orthomosaic and Index: How to automatically generate a Digital Terrain Model (DTM).

The results of the point cloud classification are used for the DTM generation during step 3.

Point cloud classification