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Remote sensing disaster monitoring and evaluation model based on crowdsourcing |
| WANG Yuxian1, 2, DUAN Jianbo1, LIU Shibin1, MA Caihong1 |
1. Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100094, China;
2. University of the Chinese Academy of Sciences, Beijing 100049, China |
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Abstract To improve the time effectiveness of emergency response work toward natural disaster, this paper proposes a remote sensing disaster monitoring and evaluation model based on crowdsourcing, the strategy of dynamic voting consistency for disaster data evaluation is studied in detail, and the prototype system is realized based on the model. The model gathers the knowledge from hundreds of millions of users through the Internet to provide visual interpretation of high-resolution remote sensing images of disaster area quickly and effectively, so it achieves a rapid processing of image data, efficient collection of massive disaster data and real-time hazard assessment.
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| Keywords
coastal reclamation
remote sensing
ensemble classification
object identification
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Issue Date: 03 May 2017
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2017,
Vol. 29
