结合遥感卫星及深度神经决策树的夜间海雾识别  

Nighttime sea fog recognition based on remote sensing satellite and deep neural decision tree

作　　者：李涛 金炜[1] 符冉迪[1] 李纲[1] 尹曹谦[1] Li Tao;Jin Wei;Fu Randi;Li Gang;Yin Caoqian(Faculty of Electrical Engineering and Computer Science,Ningbo University,Ningbo,Zhejiang 315211,China)

机构地区：[1]宁波大学信息科学与工程学院,浙江宁波315211

出　　处：《光电工程》2022年第9期33-45,共13页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(42071323);宁波市公益类科技计划项目(202002N3104)。

摘　　要：遥感卫星具有覆盖范围广、连续观测等特点,被广泛应用于海雾识别相关研究。本文首先借助能够穿透云层,获取大气剖面信息的星载激光雷达(cloud-aerosol LiDAR with orthogonal polarization,CALIOP)对中高云、低云、海雾、晴空海表样本进行了标注。然后结合葵花8号卫星(Himawari-8)多通道数据提取了各类样本的亮温特征与纹理特征。最后根据海雾监测的需求,抽象出海雾监测的推理决策树,并据此建立深度神经决策树模型,实现了高精度监测夜间海雾的同时具备较强的可解释性。选择2020年6月5日夜间Himawari-8每时次连续观测数据进行测试,监测结果能够清晰地展现此次海雾事件的动态发展过程。同时本文方法海雾监测平均命中率(probability of detection,POD)为87.32%,平均误判率(false alarm ratio,FAR)为13.19%,平均临界成功指数(critical success index,CSI)为77.36%,为海上大雾的防灾减灾提供了一种新方法。Remote sensing satellites have the characteristics of wide coverage and continuous observation,and are widely used in research related to the sea fog identification.Firstly,the Cloud-Aerosol LiDAR with Orthogonal Polarization(CALIOP),which is capable of penetrating clouds and obtaining atmospheric profiles,was used to annotate medium and high cloud,low cloud,sea fog,and clear sky sea surface samples.Then,bright temperature features and texture features were extracted from each type of sample in combination with multi-channel data from the Himawari-8 satellite.Finally,according to the needs of sea fog monitoring,the inference decision tree for sea fog monitoring was abstracted and a deep neural decision tree model was built accordingly,which could achieve high accuracy for nighttime sea fog monitoring while having strong interpretability.The continuous observation data of Himawari-8 on the night of June 5,2020 was selected to test the sea fog.The monitoring results can clearly show the dynamic development process of the sea fog events.At the same time,the sea fog monitoring method in this paper has an average probability of detection(POD)of 87.32%,an average false alarm ratio(FAR)of 13.19%,and an average critical success index(CSI)of 77.36%,which provides a new method for disaster prevention and mitigation of heavy fog at sea.

关 键 词：葵花8号卫星 CALIOP星载激光雷达 深度神经决策树 夜间海雾识别 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]