AbstractFloods are the most common and damaging natural disaster worldwide in terms of both economic losses and human casualties. Currently, policymakers rely on data collected through labor-intens...
CITATION STYLE
Chen, F.-C., Subedi, A., Jahanshahi, M. R., Johnson, D. R., & Delp, E. J. (2022). Deep Learning–Based Building Attribute Estimation from Google Street View Images for Flood Risk Assessment Using Feature Fusion and Task Relation Encoding. Journal of Computing in Civil Engineering, 36(6). https://doi.org/10.1061/(asce)cp.1943-5487.0001025
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