Using Generative Adversarial Networks to Classify Structural Damage Caused by Earthquakes
The amount of structural damage image data produced in the aftermath of an earthquake can be staggering. It is challenging for a few human volunteers to efficiently filter and tag these images with meaningful damage information. There are several solution to automate post-earthquake reconnaissance i...
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| Format: | Others |
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DigitalCommons@CalPoly
2020
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| Online Access: | https://digitalcommons.calpoly.edu/theses/2158 https://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article=3641&context=theses |