Classification assigns points into categories such as ground, vegetation, buildings, roads, wires, and noise. That sounds straightforward, but it is one of the areas where automated tools still make many mistakes on real survey data.
Why classification matters
The final deliverable depends on it. If the cloud is not classified well, surfaces remain noisy, contours degrade, and downstream drafting becomes slower and less reliable.
Why software is not a magic bullet
SurvCon source material says this plainly: there is no magic bullet, the learning curves are long, and manual cleaning is still usually required. Aerotas experience aligns with that. Good classification is a mix of software capability and expert judgment.