基于众包的遥感灾害监测与评估模型

Remote sensing disaster monitoring and evaluation model based on crowdsourcing

为了提高自然灾害应急响应的时效性,提出了一种基于众包(crowdsourcing)的遥感灾害监测与评估模型,重点研究了模型中基于动态投票一致性策略的灾害数据评估,并在模型的基础上设计实现了基于众包的遥感灾害监测与评估原型系统。研究表明:该模型能够汇聚和融合互联网亿万网民的知识参与,快速解译灾区高分辨率遥感影像,实现遥感影像数据的快速处理、海量灾害数据的高效采集和实时的灾害评估。

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.