3D LAND COVER CLASSIFICATION BASED ON MULTISPECTRAL LIDAR POINT CLOUDS

14 citations as recorded by crossref.

1. Assessment of Phytomass and Carbon Stock in the Ecosystems of the Central Forest Steppe of the East European Plain: Integrated Approach of Terrestrial Environmental Monitoring and Remote Sensing with Unmanned Aerial Vehicles V. Slavskiy et al. 10.3390/life14050632
2. Automatic LOD0 classification of airborne LiDAR data in urban and non-urban areas J. Balado et al. 10.1080/22797254.2018.1522934
3. Classification of Multispectral Airborne LiDAR Data Using Geometric and Radiometric Information S. Morsy et al. 10.3390/geomatics2030021
4. 联合NDRI特征和空间相关性的机载MS-LiDAR数据分类 王. Wang Liying et al. 10.3788/IRLA20220376
5. Using Multispectral Airborne LiDAR Data for Land/Water Discrimination: A Case Study at Lake Ontario, Canada S. Morsy et al. 10.3390/app8030349
6. Multi-attribute smooth graph convolutional network for multispectral points classification Q. Wang et al. 10.1007/s11431-020-1871-8
7. Multispectral Light Detection and Ranging Technology and Applications: A Review N. Takhtkeshha et al. 10.3390/s24051669
8. Spatial–Spectral Feature Fusion and Spectral Reconstruction of Multispectral LiDAR Point Clouds by Attention Mechanism G. Zhou et al. 10.3390/rs17142411
9. Semantic Segmentation of Spectral LiDAR Point Clouds Based on Neural Architecture Search Q. Zhang et al. 10.1109/TGRS.2023.3284995
10. 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
11. 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
12. Target Classification of Similar Spatial Characteristics in Complex Urban Areas by Using Multispectral LiDAR B. Luo et al. 10.3390/rs14010238
13. Multispectral LiDAR-Based Estimation of Surface Fuel Load in a Dense Coniferous Forest A. Stefanidou et al. 10.3390/rs12203333
14. Automatic Building Extraction from Multispectral LiDAR Using Novel 3D Spatial Indices and Deep Learning Point CNN A. Mandouh et al. 10.1007/s12524-024-01940-z