现代信息科技2024，Vol.8Issue(21)：61-66,6.DOI:10.19850/j.cnki.2096-4706.2024.21.013
基于图像的雨强等级监测算法研究
Research on Rain Intensity Level Monitoring Algorithm Based on Image
张志明 1熊辉1
作者信息
- 1. 四川职业技术学院,四川 遂宁 629099
- 折叠
摘要
Abstract
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.关键词
深度学习/特征提取/雨强等级监测/SVMKey words
Deep Learning/feature extraction/rain intensity level monitoring/SVM分类
信息技术与安全科学引用本文复制引用
张志明,熊辉..基于图像的雨强等级监测算法研究[J].现代信息科技,2024,8(21):61-66,6.
