Research on Rain Intensity Level Monitoring Algorithm Based on Image
Based on Artificial Intelligence and Deep Learning technology,this paper monitors images of different rain intensity levels to improve the ability of social cameras to monitor each rain intensity level.There are some differences in HSV color space,contrast,texture feature,white proportion,Gray Level Co-occurrence Matrix and other features between images with different rain intensity levels.Based on these five features,firstly,the SVM+feature method is used to monitor the rain intensity level,but it is found that the monitoring effect of this method is not good.Secondly,in view of the Deep Learning method can extract more deep features in the images.Then,the Deep Learning method based on ResNet is used to monitor the rain intensity level.The experimental results show that the accuracy of the Deep Learning method in rain intensity level monitoring is significantly higher than that of the SVM+feature method.
Deep Learningfeature extractionrain intensity level monitoringSVM
国家科技期刊平台
NSTL
万方数据
