KNOWLEDGE BASED 3D BUILDING MODEL RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS FROM LIDAR AND AERIAL IMAGERIES

8 citations as recorded by crossref.

1. Automatic 3-D Building Model Reconstruction from Very High Resolution Stereo Satellite Imagery T. Partovi et al. https://doi.org/10.3390/rs11141660
2. Towards open-source LOD2 modelling using convolutional neural networks H. Muftah et al. https://doi.org/10.1007/s40808-021-01159-8
3. Roof Shape Classification from LiDAR and Satellite Image Data Fusion Using Supervised Learning J. Castagno & E. Atkins https://doi.org/10.3390/s18113960
4. Integration of Deep Learning Algorithms and Bilateral Filters with the Purpose of Building Extraction from Mono Optical Aerial Imagery M. Khoshboresh Masouleh et al. https://doi.org/10.29252/jgit.7.2.241
5. Multi-Task cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification K. Bittner et al. https://doi.org/10.3390/rs11111262
6. Land Cover Classification Using SegNet with Slope, Aspect, and Multidirectional Shaded Relief Images Derived from Digital Surface Model D. Lee et al. https://doi.org/10.1155/2020/8825509
7. Feature Line Extraction from Building Façade Point Clouds by Exploring Spatial Topological Relationship F. Xiong et al. https://doi.org/10.1155/2023/7408819
8. A Novel Deep Learning Based Classification of Building Roof Types Using Point Cloud Data M. Yildirim & F. Karsli https://doi.org/10.1007/s12524-024-01986-z