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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...
Autores principales: | Yang, Yetao, Wu, Ke, Wang, Yi, Chen, Tao, Wang, Xiang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864799/ https://www.ncbi.nlm.nih.gov/pubmed/31661918 http://dx.doi.org/10.3390/s19214685 |
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