大气与环境光学学报2024，Vol.19Issue(4)：405-417,13.DOI:10.3969/j.issn.1673-6141.2024.04.002
一种基于微分增强的云检测改进算法
An improved cloud detection algorithm based on differential enhancement
摘要
Abstract
As a powerful tool for active remote sensing of the atmosphere,lidar can be used to monitor the spatial and temporal distribution of clouds automatically and continuously.An improved cloud detection algorithm based on differential enhancement is proposed in this work.By introducing integral area and peak ratio algorithm,the improved algorithm cannot only effectively reduce the number of data fitting points during differentiation,improve the authenticity of cloud data,but also avoid misjudgment caused by strong noise points after differentiation in the traditional differential enhancing cloud detection algorithm.In addition,the improved algorithm also adds the merging of characteristic clouds,which can effectively reduce the mission caused by the traditional algorithm in the case of single-layer and multi-peak signals.Finally,the three kinds of simulated lidar signals and the measured Mie scattered lidar signals are used to analyze and compare the algorithms before and after the improvement.The results show that the improved algorithm maintains the superiority of cloud detection under the conditions of low signal-to-noise ratio,while further reduces the misjudgment and mission of characteristic clouds.关键词
激光雷达/云检测/微分增强/信号模拟Key words
lidar/cloud detection/differential enhancement/signal simulation分类
天文与地球科学引用本文复制引用
疏旭,王珍珠,邓淑梅,况志强,吴德成,刘东..一种基于微分增强的云检测改进算法[J].大气与环境光学学报,2024,19(4):405-417,13.基金项目
国家自然科学基金项目(41975038,42111530028),安徽省重点研究与开发计划(202004b11020012),安徽省自然科学基金杰青项目(2008085J33),中国科学院青年创新促进会人才项目(Y2021113) （41975038,42111530028）
