Just out of curiosity, have you tried to apply any of the LiDAR-based models to the photogrammetric point cloud? If so, how did you find the classification results, particularly the aerial option?

Hi, the next week I will start using the deep learning algorithm for the classification of a point cloud in an urban area. Does anyone of you have tutorials, papers, manuals, procedures to follow, etc. to get started? Because I have not found any material neither from Trimble nor from third parties on this deep learning algorithm of eCognition 10.2.

Thank you

Sorry for the late response. Yes, I have tested the algorithm (automatic classification) on photogrammetric points cloud data. Generally, the ground looks pretty good. On the other hand, in terms of vegetation, we lose about 50% which ends up in unclassified. Also, strangely we can't put several classes of vegetation (low, medium and high) at the same time?