Oblique view of Hexagon DSM data combined with aerial imagery, Houston, TX.
Los Angeles Harbor: Counting shipping containers can be easily automated with this type of imagery
L3Harris is currently working to perfect the process of creating bare-earth Digital Terrain Model, or DTM, from the Hexagon stereo data. Creation of a DTM involves digitally stripping away the vegetation, structures, and any other features to deliver the model of the bare ground surfaces of an area. This type of data allows for hydrological and civil engineering mapping, accurate construction planning, as well as accurate topographical mapping.
The Hexagon imagery is also ideally suited for machine learning. The detail and consistency of the data make it a very reliable source for large scale analytic projects involving land use mapping and feature extraction. The imagery is suitable for extracting tanks, well pads, roads, railroads, water, solar panels, vegetation, buildings, vehicles, and any other photo-identifiable assets. Once a machine learning algorithm is developed to identify a feature on a suitable test area, it can be accurately replicated across an entire data set.