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This research aims to enhance the accuracy and reliability of 3D building reconstruction using airborne lidar and optical imagery.

Three-dimensional Building Reconstruction from Airborne Lidar and Optical Imagery with Optimized Energy Weighting

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Randomized trial demonstrates improved building model accuracy in 3D reconstructions, suggesting enhanced stability from energy weighting techniques.

This research aims to enhance the accuracy and reliability of 3D building reconstruction using airborne lidar and optical imagery.
Integrated airborne lidar data with optical images using annotated image corner points.
Applied adaptive region-growing plane segmentation for robust roof structure extraction.
Utilized Bayesian optimization to adjust energy weighting for improved reconstruction stability.
Achieved better geometric accuracy and model simplicity compared to existing reconstruction methods.
Demonstrated robust creation of geometrically accurate and structurally complete building models using the proposed method.

Wang et al. (2026) studied this question.

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Randomized trial demonstrates improved building model accuracy in 3D reconstructions, suggesting enhanced stability from energy weighting techniques.