Revolutionary features in Pix4Dmapper 4.0
Last week at INTERGEO, we announced our latest feature: supervised machine-learning pointcloud classification in the preview version. Today, Pix4Dmapper 4.0 is officially available with additional new features and improvements.
Machine-learning point cloud classification
Automatically classify your dense point cloud into five groups: ground, road surfaces, buildings, high vegetation and human-made objects.
Interested to help train the classifier? Send an email to email@example.com with the processed project or the .las file in which the five groups havebeen well-classified. The classifier parameters will be modified considering the geometry and color of your point classes.
680% faster tiled LoD mesh generation
Always trying to improve our user experience, Pix4D development team has improved the processing speed of generating 3D textured mesh, especially the tiled level-of detail (LoD) mesh. According to the 24 projects we tested, generating a tiled LoD mesh is now 680% faster and saves you 89% of the processing time.
Full drone camera support in camera database
In Pix4Dmapper 4.0, we support all the latest drone cameras pre-calibrated, including the DJI Spark. As a drone pilot, you can enjoy an automatic processing for your mapping mission. Simply drag the images into Pix4Dmapper and use the camera settings automatically detected by the software.
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