A NEW MASK FOR AUTOMATIC BUILDING DETECTION FROM HIGH DENSITY POINT CLOUD DATA AND MULTISPECTRAL IMAGERY

5 citations as recorded by crossref.

1. Virtual first and last pulse method for building detection from dense LiDAR point clouds A. Mahphood & H. Arefi https://doi.org/10.1080/01431161.2019.1655176
2. Hierarchical Multi-Label Object Detection Framework for Remote Sensing Images S. Shin et al. https://doi.org/10.3390/rs12172734
3. Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint Y. Meng et al. https://doi.org/10.3390/rs14081912
4. Feature-Preserved Point Cloud Simplification Based on Natural Quadric Shape Models K. Zhang et al. https://doi.org/10.3390/app9102130
5. A semi-automatic method for extraction of urban features by integrating aerial images and LIDAR data and comparing its performance in areas with different feature structures (case study: comparison of the method performance in Isfahan and Toronto) M. Azad & F. Farnood Ahmadi https://doi.org/10.1007/s12518-022-00455-x