FUSION OF HYPERSPECTRAL, MULTISPECTRAL, COLOR AND 3D POINT CLOUD INFORMATION FOR THE SEMANTIC INTERPRETATION OF URBAN ENVIRONMENTS

9 citations as recorded by crossref.

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4. A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning Z. Ballouch et al. https://doi.org/10.3390/rs14143415
5. Integrating colored LiDAR and YOLO semantic segmentation for design feature extraction in Chinese ancient architecture Y. Li et al. https://doi.org/10.1038/s40494-025-01852-2
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8. Impact of visual features and urban form on street vitality using explainable AI: a study of historic districts in Shanghai Z. Liu et al. https://doi.org/10.1080/27669645.2026.2647240
9. Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds Z. Ballouch et al. https://doi.org/10.3390/rs16020329