SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL

9 citations as recorded by crossref.

1. Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes R. Zhang et al. 10.1109/TGRS.2023.3266273
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4. Juggling with representations: On the information transfer between imagery, point clouds, and meshes for multi-modal semantics D. Laupheimer & N. Haala 10.1016/j.isprsjprs.2021.03.007
5. MeshNet-SP: A Semantic Urban 3D Mesh Segmentation Network with Sparse Prior G. Zhang & R. Zhang 10.3390/rs15225324
6. Improving Three-Dimensional Building Segmentation on Three-Dimensional City Models through Simulated Data and Contextual Analysis for Building Extraction F. Leroux et al. 10.3390/ijgi13010020
7. Hierarchical 2-D/3-D Object-Based Classification of Photogrammetric Textured Mesh Models Z. Hu et al. 10.1109/JSTARS.2024.3500012
8. Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A survey J. Adam et al. 10.1016/j.jag.2023.103365
9. A Texture Integrated Deep Neural Network for Semantic Segmentation of Urban Meshes Y. Yang et al. 10.1109/JSTARS.2023.3276977