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Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban Areas
Classifying the LiDAR (Light Detection and Ranging) point cloud in the urban environment is a challenging task. Due to the complicated structures of urban objects, it is difficult to find suitable features and classifiers to efficiently category the points. A two-layered graph-cuts-based classificat...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6864799/ https://ncbi.nlm.nih.gov/pubmed/31661918 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19214685 |
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