Identification of Underground Artificial Cavities Based on the Bayesian Convolutional Neural Network

The development of underground artificial cavities plays an important role in the exploitation of urban spatial resources. As the rapidly growing number of underground artificial cavities with different depths and scales increases, the detection and identification of underground artificial cavities...

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Detalles Bibliográficos
Autores principales: Xia, Jigen, Peng, Ronghua, Li, Zhiqiang, Li, Junyi, He, Yizhuo, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575264/
https://www.ncbi.nlm.nih.gov/pubmed/37836999
http://dx.doi.org/10.3390/s23198169

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575264/
https://www.ncbi.nlm.nih.gov/pubmed/37836999
http://dx.doi.org/10.3390/s23198169

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