UNSUPERVISED AUTOMATIC BUILDING EXTRACTION USING ACTIVE CONTOUR MODEL ON UNREGISTERED OPTICAL IMAGERY AND AIRBORNE LIDAR DATA

7 citations as recorded by crossref.

1. DCRN: An Optimized Deep Convolutional Regression Network for Building Orientation Angle Estimation in High-Resolution Satellite Images A. Shahin & S. Almotairi https://doi.org/10.3390/electronics10232970
2. RETRACTED: A novel semi-supervised method for airborne LiDAR point cloud classification X. Li et al. https://doi.org/10.1016/j.isprsjprs.2021.08.010
3. A Robust Performance Evaluation Metric for Extracted Building Boundaries From Remote Sensing Data E. Dey & M. Awrangjeb https://doi.org/10.1109/JSTARS.2020.3006258
4. Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery E. Protopapadakis et al. https://doi.org/10.3390/rs13030371
5. Nondestructive inspection of aerospace composite laminate using thermal image processing K. Sreeshan et al. https://doi.org/10.1007/s42452-020-03619-9
6. Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes T. Nguyen et al. https://doi.org/10.1109/JSTARS.2020.2987305
7. A Building Point Cloud Extraction Algorithm in Complex Scenes Z. Su et al. https://doi.org/10.3390/rs16111934