TESTING OF LAND COVER CLASSIFICATION FROM MULTISPECTRAL AIRBORNE LASER SCANNING DATA

10 citations as recorded by crossref.

1. Classification of Multispectral Airborne LiDAR Data Using Geometric and Radiometric Information S. Morsy et al. 10.3390/geomatics2030021
2. Using Multispectral Airborne LiDAR Data for Land/Water Discrimination: A Case Study at Lake Ontario, Canada S. Morsy et al. 10.3390/app8030349
3. Land Cover Classification with Multispectral LiDAR Based on Multi-Scale Spatial and Spectral Feature Selection S. Shi et al. 10.3390/rs13204118
4. A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation L. Yu et al. 10.1109/ACCESS.2022.3158438
5. Domain adaptation framework with ensemble of fuzzy rules-based ELMs for remote-sensing image classification S. Meher et al. 10.1007/s00500-023-09355-7
6. AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data D. Li et al. 10.1016/j.jag.2022.102723
7. Combining Local Knowledge with Object-Based Machine Learning Techniques for Extracting Informal Settlements from Very High-Resolution Satellite Data K. Alrasheedi et al. 10.1007/s41748-024-00393-1
8. Geospatial Computer Vision Based on Multi-Modal Data—How Valuable Is Shape Information for the Extraction of Semantic Information? M. Weinmann & M. Weinmann 10.3390/rs10010002
9. Multi-attribute smooth graph convolutional network for multispectral points classification Q. Wang et al. 10.1007/s11431-020-1871-8
10. Pilbara rock art: laser scanning, photogrammetry and 3D photographic reconstruction as heritage management tools A. Davis et al. 10.1186/s40494-017-0140-7