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Rigorous and extensive accuracy assestment of automatically classified LiDAR data: a case study in the city of Milan, Italy

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This analysis demonstrates high accuracy of LiDAR data classification in urban settings, suggesting improvements with deep learning approaches.

Classification achieved 95.8% accuracy in San Siro and 94.6% in Città Studi, highlighting effective methodologies.
Using well-known algorithms like TerraSolid, a comprehensive ground truth dataset validated the classification approach.
Aerial LiDAR data was collected with Leica CityMapper-2S, capturing 20-30 pts/m2, indicating data density insights.
Future efforts will refine parameters and integrate deep learning algorithms to enhance classification accuracy further.

Lodigiani et al. (2025) studied this question.

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This analysis demonstrates high accuracy of LiDAR data classification in urban settings, suggesting improvements with deep learning approaches.