What is the amount and distribution of roofs that are suitable for solar cell coverage?.What is the total road surface area in your area of interest?.How many trees are within the project area and at what locations? What is their height and species?.That means, instead of having operators inspecting and measuring 3D reality models manually, they will directly receive automatically-generated answers to questions like: In the end, it will allow the conversion of raw image input to 3D reality models with attributed semantic information. We believe in the ability of photogrammetry and machine learning techniques to revolutionize today’s workflows and to enable many new ones. It allows you to classify 3D point clouds into categories like buildings, roads or vegetation.Īnd this is just the beginning of Pix4D’s latest journey. With Pix4Dmapper 4.0 you get machine-learning tools for photogrammetry applications in your hands.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |