Crowdsourcing Rapid Assessment of Collapsed Buildings Early after the Earthquake Based on Aerial Remote Sensing Image: A Case Study of Yushu Earthquake

Crowdsourcing Rapid Assessment of Collapsed Buildings Early after the Earthquake Based on Aerial Remote Sensing Image: A Case Study of Yushu Earthquake

Remote sensing (RS) images play a significant role in disaster emergency response. Web2.0 changes the way data are created, making it possible for the public to participate in scientific issues. In this paper, an experiment is designed to evaluate the reliability of crowdsourcing buildings collapse...

Full description

Bibliographic Details
Main Authors: Shuai Xie, Jianbo Duan, Shibin Liu, Qin Dai, Wei Liu, Yong Ma, Rui Guo, Caihong Ma
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Remote Sensing
Subjects:
crowdsourcing
building collapse assessment
earthquake
aerial image
EM algorithm
Online Access:http://www.mdpi.com/2072-4292/8/9/759

Similar Items

Similar Items