CONTEXTUAL CLASSIFICATION OF POINT CLOUDS USING A TWO-STAGE CRF

9 citations as recorded by crossref.

1. A Hybrid Semantic Point Cloud Classification-Segmentation Framework Based on Geometric Features and Semantic Rules M. Weinmann et al. https://doi.org/10.1007/s41064-017-0020-5
2. Predicting the Elevation of Canopy Occluded Ground Points in Dense Forest Regions T. Arevalo-Ramirez & F. Auat Cheein https://doi.org/10.1109/TGRS.2022.3152925
3. Geospatial Computer Vision Based on Multi-Modal Data—How Valuable Is Shape Information for the Extraction of Semantic Information? M. Weinmann & M. Weinmann https://doi.org/10.3390/rs10010002
4. Assessment of Multispectral Vegetation Features for Digital Terrain Modeling in Forested Regions T. Arevalo-Ramirez et al. https://doi.org/10.1109/TGRS.2021.3109601
5. An Inverse Node Graph-Based Method for the Urban Scene Segmentation of 3D Point Clouds B. Zhao et al. https://doi.org/10.3390/rs13153021
6. Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling T. Arevalo-Ramirez & F. Auat Cheein https://doi.org/10.1109/ACCESS.2021.3061371
7. Classification of image matching point clouds over an urban area T. Tran et al. https://doi.org/10.1080/01431161.2018.1452069
8. Mapping multispectral Digital Images using a Cloud Computing software: applications from UAV images J. Saura et al. https://doi.org/10.1016/j.heliyon.2019.e01277
9. Point Cloud vs. Mesh Features for Building Interior Classification M. Bassier et al. https://doi.org/10.3390/rs12142224