Research on 3D Data Restoration of Industrial Heritage Based on Depth Image： A Case Study of Changsha Kaixue Flour Mill

Due to inadequate conservation frameworks， substantial industrial heritage in China has been demolished or damaged， necessitating digital reconstruction to preserve historical information. An approach is proposed for 3D data restoration of demolished industrial heritage with incomplete UAV photogrammetry datasets. Depth image technology refines aerial imagery through depth-aware analysis to optimize point clouds， enhancing completeness in information-deficient scenarios. By integrating historical records， remote sensing， and archival photos， detailed point cloud refinement and scene reconstruction are achieved. The resulting 3D models enable morphological restoration of urban industrial architecture， providing a systematic framework for digital heritage preservation and database development using depth-image-based data recovery techniques.