基于背景图像重构的船舶尾气遥感监测方法  

Remote Sensing Monitoring Method of Ship Exhaust Based on Background Image Reconstruction

作　　者：何微微 袁浩宸 郭建军 张子豪 张会亮 张一康 周维 武魁军 He Weiwei;Yuan Haochen;Guo Jianjun;Zhang Zihao;Zhang Huiliang;Zhang Yikang;Zhou Wei;Wu Kuijun(School of Physics and Electronic Information,Yantai University,Yantai 264005,Shandong,China)

机构地区：[1]烟台大学物理与电子信息学院,山东烟台264005

出　　处：《光学学报》2024年第12期376-385,共10页Acta Optica Sinica

基　　金：国家自然科学基金(62305283,41975039,61705253);国家重点研发计划(2017YFC0211900);山东省自然科学基金(ZR2021QD088);山东省高等学校青创科技支持计划(2021KJ008);大学生创新创业训练计划(202111066006)。

摘　　要：提出一种基于羽流图像实现背景实时重构进而精确反演SO_(2)柱浓度的监测方法。首先,介绍图像重构法的数学原理及工程实现方法;然后,分别利用四像法和图像重构法处理船舶尾气图像反演数据得到SO_(2)柱浓度图像,验证图像重构方法的科学性;最后,采用光流算法分别处理两种方法获得的浓度图像来计算排放速率,进一步验证图像重构法的优越性。结果表明,图像重构法可以实时校准背景图像,将SO_(2)柱浓度图像反演误差降低了约66%。图像重构法的简便、实用、准确的技术优势,在移动污染源遥感监测方面具有良好的应用前景。Objective Water transport has become an important pillar of global economic development owing to its numerous advantages,such as substantial capacity and low cost.However,ships release a considerable amount of harmful gases during navigation and docking.Among these emissions,SO_(2) accounts for a significant portion,and excessive emissions can pose significant risks to marine ecosystems,human health,and the environment at large.Therefore,it is particularly important to monitor SO_(2) emissions from ship exhaust.Among the various monitoring methods available,SO_(2) UV cameras have experienced rapid development due to their uncomplicated structure,extensive monitoring range,high measurement accuracy,and superior temporal and spatial resolution.They have found widespread application in monitoring pollutant gases in diverse fields,including volcanoes,industrial chimneys,and ships.Typically,UV cameras employ the four-image method for monitoring,wherein a series of pollutant plume images are captured over a period,followed by a change in the camera’s field of view to capture a set of images of the sky background.However,the effectiveness of the traditional four-image method is compromised by the significant fluctuations in the sky background caused by the ship’s movement within a short time series,leading to errors in the final measurement results.To enhance the result accuracy,this paper proposes a monitoring method based on the dual-channel ultraviolet camera principle and the engineering implementation of an image reconstruction method.This method enables real-time reconstruction of the background based on the plume image,facilitating accurate inversion of the SO_(2) column concentration.Methods The image reconstruction method begins by applying thresholding and labeling to the acquired plume images.Two thresholds are set using the adaptive threshold selection method,effectively distinguishing between the plume structure and the sky background based on the threshold interval.Subsequently,the labeled plume region

关 键 词：遥感 船舶尾气 SO2紫外相机 图像重构 排放速率 四像法 光流算法 

分 类 号：O433[机械工程—光学工程]