现代信息科技2024，Vol.8Issue(24)：36-39,4.DOI:10.19850/j.cnki.2096-4706.2024.24.008
协同U-Net与隐马尔可夫模型的遥感影像云识别
Remote Sensing Image Cloud Identification of Cooperation with U-Net and Hidden Markov Model
程志强 1崔成玲1
作者信息
- 1. 北京吉威空间信息股份有限公司,北京 100043
- 折叠
摘要
Abstract
Cloud and fog cover is one of the important factors affecting the utilization rate of optical remote sensing image forestry monitoring.In view of the problems that the traditional cloud recognition method is sensitive to noise and the Deep Learning method is not accurate in cloud edge recognition,a remote sensing image cloud recognition method of cooperation with U-Net and Hidden Markov Model is proposed in this paper.Firstly,the cloud is preliminarily identified based on the U-Net network structure to improve the sensitivity of the traditional method to noise.Secondly,it uses the Hidden Markov Model for back-end processing to optimize the edge contour of cloud recognition.The experimental results show that the accuracy of the remote sensing image cloud recognition method of cooperation with U-Net and Hidden Markov Model is improved by 5%compared with the traditional method.At the same time,the edge contour of the cloud is better preserved.关键词
遥感影像/云识别/U-Net神经网络/隐马尔可夫模型Key words
remote sensing image/cloud identification/U-Net Neural Network/Hidden Markov Model分类
信息技术与安全科学引用本文复制引用
程志强,崔成玲..协同U-Net与隐马尔可夫模型的遥感影像云识别[J].现代信息科技,2024,8(24):36-39,4.
