A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Method to generate disaster-damage map using 3D photometry and crowd sourcing
2017
2017 IEEE International Conference on Big Data (Big Data)
With to the spread of the Internet and mobile devices, information related to disaster areas is being collected through the Internet. To grasp the degree of damage in a disaster situation, the use of crowdsourcing for collecting the trivial efforts (micro tasks) of an enormous number of users (workers) on the Internet has been drawing attention as a mean of quickly solving problems. However, the information gathered from the Internet is huge and diverse, so it is difficult to formulate it as a
doi:10.1109/bigdata.2017.8258473
dblp:conf/bigdataconf/KobayashiSKK17
fatcat:w2zioiqtireixkg22ltarhzsxm