留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码
downloadPDF
钟芊芊, 肖锐, 曹汉瑞, 李熙, 吴极. “启明星一号”夜间灯光影像的评估[J]. 开云体育苹果版学报 ( 信息科学版). doi: 10.13203/j.whugis20230035
引用本文: 钟芊芊, 肖锐, 曹汉瑞, 李熙, 吴极. “启明星一号”夜间灯光影像的评估[J]. 开云体育苹果版学报 ( 信息科学版).doi:10.13203/j.whugis20230035
ZHONG Qianqian, XIAO Rui, CAO Hanrui, LI Xi, WU Ji. Evaluation of “Qimingxing-1” Nighttime Light Image[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20230035
Citation: ZHONG Qianqian, XIAO Rui, CAO Hanrui, LI Xi, WU Ji. Evaluation of “Qimingxing-1” Nighttime Light Image[J].Geomatics and Information Science of Wuhan University.doi:10.13203/j.whugis20230035

“启明星一号”夜间灯光影像的评估

doi:10.13203/j.whugis20230035
基金项目:

国家重点研发计划(2019YFE0126800)。

详细信息
    作者简介:

    钟芊芊,硕士生,研究方向为遥感图像处理与应用。zqq_mail@whu.edu.cn

    通讯作者:李熙,博士,教授。lixi@whu.edu.cn

Evaluation of “Qimingxing-1” Nighttime Light Image

  • 摘要:开云体育苹果版研制的“启明星一号”(QMX-1)卫星具备夜间可见光成像的功能,该卫星于2022年2月27日成功发射。为评估QMX-1夜间灯光影像的数据特点,本研究选择北京市主城区、深圳市和武汉市主城区作为研究区域,将QMX-1夜间灯光影像与“珞珈一号”01星(LJ1-01)夜间灯光影像在数据统计特征、路网方面进行了多层次的对比分析,并利用小波分析评价启明星一号夜间灯光影像的空间特性。分析结果显示,QMX-1夜光影像与LJ1-01夜光影像灰度值(Digital Number,DN)分布不同,QMX-1夜光影像灰度值更加均一; QMX-1夜光影像中道路更易于辨认,且QMX-1夜光影像灰度值与道路长度和道路核密度具有更高的相关性;在QMX-1夜光影像上,约10%~30%的小波分量能量分布在23~46m分辨率,说明QMX-1夜光影像蕴含了丰富的空间细节信息。本研究表明,QMX-1夜光影像是一种质量较高的夜间灯光数据源,20米左右空间分辨率的夜光数据能够更有效地反映城市细节信息。
  • [1] Li Deren, Li Xi. An Overview on Data Mining of Nighttime Light Remote Sensing[J]. Acta Geodetica et Cartographica Sinica, 2015, 44(6):591-601(李德仁, 李熙. 论夜光遥感数据挖掘[J]. 测绘学报, 2015, 44(6):591-601)
    [2] Levin N, Kyba C C M, Zhang Q L, et al. Remote Sensing of Night Lights:A Review and an Outlook for the Future[J]. Remote Sensing of Environment, 2020, 237:111443
    [3] Elvidge C D, Baugh K E, Kihn E A, et al. Relation Between Satellite Observed Visible-near Infrared Emissions, Population, Economic Activity and Electric Power Consumption[J]. International Journal of Remote Sensing, 1997, 18(6):1373-1379
    [4] Elvidge C D, Baugh K, Zhizhin M, et al. VIIRS Night-time Lights[J]. International Journal of Remote Sensing, 2017, 38(21):5860-5879
    [5] Elvidge C D, Baugh K, Zhizhin M, et al. Why VIIRS Data are Superior to DMSP for Mapping Nighttime Lights[J]. Proceedings of the Asia-Pacific Advanced Network, 2013, 35:62-69
    [6] Yu Bailang, Wang Congxiao, Gong Wenkang, et al. Nighttime light remote sensing and urban studies:Data, methods, applications, and prospects[J]. National Remote Sensing Bulletin, 2021, 25(1):342-364(余柏蒗, 王丛笑, 宫文康, 等. 夜间灯光遥感与城市问题研究:数据、方法、应用和展望[J]. 遥感学报, 2021, 25(1):342-364)
    [7] Xie Y H, Weng Q H, Fu P. Temporal Variations of Artificial Nighttime Lights and their Implications for Urbanization in the Conterminous United States, 2013-2017[J]. Remote Sensing of Environment, 2019, 225:160-174
    [8] Zhou Y Y, Smith S J, Elvidge C D, et al. A Cluster-based Method to Map Urban Area from DMSP/OLS Nightlights[J]. Remote Sensing of Environment, 2014, 147:173-185
    [9] Zhang Lin, Li Xi. Analysis on Disparity of Regional Development in Pakistan Under Perspective of Nighttime Light Remote Sensing[J]. Geomatics and Information Science of Wuhan University, 2022, 47(2):269-279(张霖, 李熙. 夜光遥感视角下的巴基斯坦区域发展差异分析[J]. 开云体育苹果版学报·信息科学版, 2022, 47(2):269-279)
    [10] Chen Yulun, Chen Danni, Li Xi. Analysis of Night Light Patterns Using Urban Public Camera[J]. Geomatics and Information Science of Wuhan University, 2022, 47(8):1318-1327(陈宇伦, 陈丹妮, 李熙. 利用城市公共摄像头分析夜间灯光变化规律[J]. 开云体育苹果版学报·信息科学版, 2022, 47(8):1318-1327)
    [11] Forbes D J. Multi-scale Analysis of the Relationship Between Economic Statistics and DMSP-OLS Night Light Images[J]. Giscience & Remote Sensing, 2013, 50(5):483-499
    [12] Small C, Pozzi F, Elvidge C D. Spatial Analysis of Global Urban Extent from DMSP-OLS Night Lights[J]. Remote Sensing of Environment, 2005, 96(3-4):277-291
    [13] Wang Taoyang, Zhang Guo, Li Peiran. Analysis on the Driving Factors of Urban Expansion Policy Based on DMSP/OLS Remote Sensing Image[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(11):1466-1473(汪韬阳, 张过, 李沛然, 等. 基于DMSP/OLS夜光遥感影像的城市扩张政策驱动因素分析[J]. 测绘学报, 2018, 47(11):1466-1473)
    [14] Chen Jin, Zhuo Li, Shi Peijun. The Study on Urbanization Process in China Based on DMSP/OLS Data:Development of a Light Index for Urbanization Level Estimation[J]. Journal of Remote Sensing, 2003, 7(3):168-175+241(陈晋, 卓莉, 史培军, 等. 基于DMSP/OLS数据的中国城市化过程研究——反映区域城市化水平的灯光指数的构建[J]. 遥感学报, 2003, 7(3):168-175+241)
    [15] Li Xi, Gong Yu. Evaluation of China's Aid to Central Asia from the Perspective of Night-time Light Remote Sensing[J/OL]. Geomatics and Information Science of Wuhan University, 2023:1-11[2023-1-18]. DOI:10.13203/j.whugis20220478(李熙, 巩钰. 夜间灯光遥感视角下的中国对中亚地区援助效果评估[J/OL]. 开云体育苹果版学报·信息科学版, 2023:1-11[2023-1-18]. DOI:10.13203/j.whugis20220478)
    [16] Li H L, Peng J, Liu Y X, et al. Urbanization Impact on Landscape Patterns in Beijing City, China:A Spatial Heterogeneity Perspective[J]. Ecological Indicators, 2017, 82:50-60
    [17] Zhao X, Li X, Zhou Y Y, et al. Analyzing Urban Spatial Connectivity Using Night Light Observations:A Case Study of Three Representative Urban Agglomerations in China[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13:1097-1108
    [18] Li X, Xu H M, Chen X L, et al. Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China[J]. Remote Sensing, 2013, 5(6):3057-3081
    [19] Bennett M M, Smith L C. Advances in Using Multitemporal Night-time Lights Satellite Imagery to Detect, Estimate, and Monitor Socioeconomic Dynamics[J]. Remote Sensing of Environment, 2017, 192:176-197
    [20] Jiang W, He G J, Long T F, et al. Potentiality of Using Luojia 1-01 Nighttime Light Imagery to Investigate Artificial Light Pollution[J]. Sensors, 2018, 18(9):2900
    [21] Jiang W, He G J, Leng W C, et al. Characterizing Light Pollution Trends Across Protected Areas in China Using Nighttime Light Remote Sensing Data[J]. ISPRS International Journal of GeoInformation, 2018, 7(7):243
    [22] Li X, Li X Y, Li D R, et al. A Preliminary Investigation of Luojia-1 Night-time Light Imagery[J]. Remote Sensing Letters, 2019, 10(6):526-535
    [23] Li X, Zhao L X, Li D R, et al. Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery[J]. Sensors, 2018, 18(11):3665
    [24] Li Deren, Zhang Guo, Shen Xin. Design and Processing Night Light Remote Sensing of LJ1-01 Satellite[J]. Journal of Remote Sensing, 2019, 23(6):1011-1022(李德仁, 张过, 沈欣, 等. 珞珈一号01星夜光遥感设计与处理[J]. 遥感学报, 2019, 23(6):1011-1022)
    [25] Li Fei, Yan Qingwu, Zou Yajing, et al. Extraction Accuracy of Urban Built-up Area Based on Nighttime Light Data and POI:A Case Study of Luojia 1-01 and NPP/VIIRS Nighttime Light Images[J]. Geomatics and Information Science of Wuhan University, 2021, 46(6):825-835(厉飞, 闫庆武, 邹雅婧, 等. 利用夜间灯光POI的城市建成区提取精度研究——以珞珈一号01星和NPP/VIIRS夜间灯光影像为例[J]. 开云体育苹果版学报·信息科学版, 2021, 46(6):825-835)
    [26] Liu Quanyi, Zhan Qingming, Li Jiansong. Extracting Built-up Areas Using Luojia-1:A Nighttime Light Imageries in Wuhan, China[J]. Geomatics and Information Science of Wuhan University, 2021, 46(1):30-39(刘权毅, 詹庆明, 李建松, 等. 珞珈一号夜间灯光影像在建设用地提取中的应用:以武汉市为例[J]. 开云体育苹果版学报·信息科学版, 2021, 46(1):30-39)
    [27] Meijer J, Huijbregts M, Schotten K, et al. Global Patterns of Current and Future Road Infrastructure[J]. Environmental Research Letters, 2018, 13(6):064006
    [28] Cheng F, Liu S, Hou X, et al. Urban Land Extraction Using DMSP/OLS Nighttime Light Data and OpenStreetMap Datasets for Cities in China at Different Development Levels[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11(8):2587-2599
    [29] Wang L Y, Fan H, Wang Y K. An Estimation of Housing Vacancy Rate Using NPP-VIIRS Nighttime Light Data and OpenStreetMap Data[J]. International Journal of Remote Sensing, 2019, 40(22):8566-8588
    [30] Wang C X, Chen Z Q, Yang C S, et al. Analyzing Parcel-level Relationships Between Luojia 1-01 Nighttime Light Intensity and Artificial Surface Features Across Shanghai, China:A Comparison with NPP-VIIRS Data[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 85:101989
    [31] Schwind P, Storch T. Georeferencing Urban Nighttime Lights Imagery Using Street Network Maps[J]. 2022, 14(11):2671
    [32] Zhao M, Zhou Y Y, Li X C, et al. Building a Series of Consistent Night-Time Light Data (1992- 2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(3):1843-1856
    [33] Yang Y L, Ma M G, Zhu X B, et al. Research on Spatial Characteristics of Metropolis Development Using Nighttime Light Data:NTL Based Spatial Characteristics of Beijing[J]. PLOS ONE, 2020, 15(11):e0242663
    [34] Shen Z Y, Zhu X L, Cao X, et al. Measurement of Blooming Effect of DMSP-OLS Nighttime Light Data Based on NPP-VIIRS Data[J]. Annals of GIS, 2019, 25(2):153-165
    [35] Zhou Q, Zheng Y M, Shao J Y, et al. An Improved Method of Determining Human Population Distribution Based on Luojia 1-01 Nighttime Light Imagery and Road Network Data-A Case Study of the City of Shenzhen[J]. Sensors, 2020, 20(18):5032
    [36] JTG B01-2014, Technical Standard of Highway Engineering[S].Beijing:China Communication Press, 2014.(JTG B01-2014, 公路工程技术标准[S].北京:人民交通出版社, 2014.)
    [37] Wang N C, Liu Y F, Wang J Z, et al. Investigating the Potential of Using POI and Nighttime Light Data to Map Urban Road Safety at the Micro-Level:A Case in Shanghai, China[J]. Sustainability, 2019, 11(17):4739
    [38] Silverman B W. Density Estimation for Statistics and Data Analysis[M]. London, UK:Chapman and Hall, 1986
    [39] Xu H M, Li X. Evaluating Spatial Details of Luojia-1 Night-Time Images Using Road Network Analysis[J]. Geoinformatics in Sustainable Ecosystem and Society, 2020:122-131
    [40] Gao J Q, Wang B B, Wang Z Y, et al. A Wavelet Transform-based Image Segmentation Method[J]. Optik, 2020, 208:164123
    [41] Liu Y, Chen X, Wang Z F, et al. Deep Learning for Pixel-level Image Fusion:Recent Advances and Future Prospects[J]. Information Fusion, 2018, 42:158-173
    [42] Aymaz S, Köse C. A Novel Image Decomposition-based Hybrid Technique with Super-resolution Method for Multi-focus Image Fusion[J]. Information Fusion, 2019, 45:113-127
    [43] Levin N, Zhang Q L. A Global Analysis of Factors Controlling VIIRS Nighttime Light Levels from Densely Populated Areas[J]. Remote Sensing of Environment, 2017, 190:366-382
  • [1] 邵振峰, 孙悦鸣, 席江波, 李岩.智能优化学习的高空间分辨率遥感影像语义分割. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20200640
    [2] 王雨枫, 王娟.浙江城市群人口与用地规模的时空分异结构演变研究. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20200221
    [3] 徐慧敏, 胡守庚.夜光遥感视角下的中国城市规模的时空演变. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20190330
    [4] 刘权毅, 詹庆明, 李建松, 杨晨, 刘稳.珞珈一号夜间灯光影像在建设用地提取中的应用:以武汉市为例. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20190376
    [5] 厉飞, 闫庆武, 邹雅婧, 刘保丽.利用夜间灯光POI的城市建成区提取精度研究——以珞珈一号01星和NPP/VIIRS夜间灯光影像为例. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20190266
    [6] 王春艳, 刘佳新, 徐爱功, 王玉, 隋心.一种新的高分辨率遥感影像模糊监督分类方法. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20150726
    [7] 王磊, 陈锐志, 李德仁, 蔚保国, 伍蔡伦.珞珈一号低轨卫星导航增强系统信号质量评估. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20180413
    [8] 张艳, 王涛, 冯伍法, 王淑香.“天绘一号”海岛(礁)影像稀少控制下的定位技术研究. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20140220
    [9] 康一飞, 王树根, 韩飞飞, 孙明伟.资源一号02C影像条带噪声去除的改进矩匹配方法. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20150717
    [10] 陈王丽, 孙 涛, 秦前清, 石 岩, 张 巍, 林立宇.利用嫦娥一号ccd相机邻轨下视影像生成月面dem. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j .whu g is20140041
    [11] 陈一祥, 秦昆, 冯霞.一种使用局部空间统计量的高分辨率影像显著结构提取方法. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20120144
    [12] 陈王丽, 孙涛, 陈喆3马国锐, 秦前清.利用光流配准进行嫦娥一号CCD多视影像超分辨率重建. 开云体育苹果版学报 ( 信息科学版),doi:10.13203/j.whugis20130289
    [13] 陈洪, 陶超, 邹峥嵘, 于菲菲.一种新的高分辨率遥感影像城区提取方法. 开云体育苹果版学报 ( 信息科学版),
    [14] 吴小波, 杨辽, 沈金祥, 王杰.利用空间连续性进行高分辨率遥感影像道路提取. 开云体育苹果版学报 ( 信息科学版),
    [15] 杨俊, 赵忠明, 杨健.一种高分辨率遥感影像阴影去除方法. 开云体育苹果版学报 ( 信息科学版),
    [16] 闫利, 岳昔娟, 崔晨风.一种定量确定遥感融合图像空间分辨率的方法. 开云体育苹果版学报 ( 信息科学版),
    [17] 陈基伟, 韩雪培.高分辨率遥感影像建筑容积率提取方法研究. 开云体育苹果版学报 ( 信息科学版),
    [18] 林宗坚, 宣文玲, 王艳.高分辨率影像定位的一种新方法. 开云体育苹果版学报 ( 信息科学版),
    [19] 张剑清, 张勇, 郑顺义, 张宏伟.高分辨率遥感影像的精纠正. 开云体育苹果版学报 ( 信息科学版),
    [20] 李平湘, 王智均.高空间分辨率影像和多光谱影像融合的研究. 开云体育苹果版学报 ( 信息科学版),
  • 加载中
计量
  • 文章访问数:230
  • HTML全文浏览量:45
  • PDF下载量:17
  • 被引次数:0
出版历程
  • 收稿日期:2023-02-10
  • 网络出版日期:2023-03-31

doi:10.13203/j.whugis20230035
    基金项目:

    国家重点研发计划(2019YFE0126800)。

    作者简介:

    钟芊芊,硕士生,研究方向为遥感图像处理与应用。zqq_mail@whu.edu.cn

摘要:开云体育苹果版研制的“启明星一号”(QMX-1)卫星具备夜间可见光成像的功能,该卫星于2022年2月27日成功发射。为评估QMX-1夜间灯光影像的数据特点,本研究选择北京市主城区、深圳市和武汉市主城区作为研究区域,将QMX-1夜间灯光影像与“珞珈一号”01星(LJ1-01)夜间灯光影像在数据统计特征、路网方面进行了多层次的对比分析,并利用小波分析评价启明星一号夜间灯光影像的空间特性。分析结果显示,QMX-1夜光影像与LJ1-01夜光影像灰度值(Digital Number,DN)分布不同,QMX-1夜光影像灰度值更加均一; QMX-1夜光影像中道路更易于辨认,且QMX-1夜光影像灰度值与道路长度和道路核密度具有更高的相关性;在QMX-1夜光影像上,约10%~30%的小波分量能量分布在23~46m分辨率,说明QMX-1夜光影像蕴含了丰富的空间细节信息。本研究表明,QMX-1夜光影像是一种质量较高的夜间灯光数据源,20米左右空间分辨率的夜光数据能够更有效地反映城市细节信息。

English Abstract

钟芊芊, 肖锐, 曹汉瑞, 李熙, 吴极. “启明星一号”夜间灯光影像的评估[J]. 开云体育苹果版学报 ( 信息科学版). doi: 10.13203/j.whugis20230035
引用本文: 钟芊芊, 肖锐, 曹汉瑞, 李熙, 吴极. “启明星一号”夜间灯光影像的评估[J]. 开云体育苹果版学报 ( 信息科学版).doi:10.13203/j.whugis20230035
ZHONG Qianqian, XIAO Rui, CAO Hanrui, LI Xi, WU Ji. Evaluation of “Qimingxing-1” Nighttime Light Image[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20230035
Citation: ZHONG Qianqian, XIAO Rui, CAO Hanrui, LI Xi, WU Ji. Evaluation of “Qimingxing-1” Nighttime Light Image[J].Geomatics and Information Science of Wuhan University.doi:10.13203/j.whugis20230035
参考文献 (43)

目录

    /

      返回文章
      返回
        Baidu
        map