论文标题
AQPDCITY数据集：大城市市区的基于图片的PM监控
AQPDCITY Dataset: Picture-Based PM Monitoring in the Urban Area of Big Cities
论文作者
论文摘要
由于颗粒事项（PMS）与人们的生活和健康密切相关，因此它已成为全球空气质量监测的最重要指标之一。但是，现有的基于传感器的PM监测方法具有显着的缺点，例如低密度监控站和高征用监测条件。高度希望设计一种可以在任何位置获得以下空气质量控制的方法。先前的工作表明，可以使用无处不在的照片来监视PM浓度。为了进一步调查此问题，我们在大城市收集了1,500张照片，以建立一个新的AQPDCITY数据集。进行了该数据集中检查九种最先进方法的实验表明，上述方法在AQPDCITY数据集中的性能较差。
Since Particulate Matters (PMs) are closely related to people's living and health, it has become one of the most important indicator of air quality monitoring around the world. But the existing sensor-based methods for PM monitoring have remarkable disadvantages, such as low-density monitoring stations and high-requirement monitoring conditions. It is highly desired to devise a method that can obtain the PM concentration at any location for the following air quality control in time. The prior works indicate that the PM concentration can be monitored by using ubiquitous photos. To further investigate such issue, we gathered 1,500 photos in big cities to establish a new AQPDCITY dataset. Experiments conducted to check nine state-of-the-art methods on this dataset show that the performance of those above methods perform poorly in the AQPDCITY dataset.
