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NPP/VIIRS微光图像融合中国中东部城市灯光算法

NPP/Visible Infrared Image Radiometer Suite Low-Light Image Fusion Algorithm for City Lights in Mid-Eastern China

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摘要

美国新一代环境气象卫星NPP/联合极轨卫星系统(JPSS)增加了可见光红外成像辐射仪(VIIRS)白天/夜间波段(DNB)的微光昼夜成像通道, 继承了国防气象卫星计划(DMSP)线性扫描业务系统(OLS)收集全球微光成像数据的能力, 并在性能上有大幅提升, 利用VIIRS DNB数据可以进行夜间城市灯光探测。针对中国中东部经济快速发展区域城市灯光产品的迫切需求, 综合考虑云层、月光、太阳照射、闪电、火灾等因素的影响, 对低质量数据和非灯光特征数据进行识别和剔除, 采用VIIRS DNB多天夜间数据进行融合, 将多天无月光的有效灯光辐亮度数据进行平均, 生成中国中东部地区夜间城市灯光的月合成产品。将本算法生成的产品与美国国家海洋和大气管理局(NOAA)业务城市灯光产品的辐射亮度值进行对比验证后发现, 两者具有可比性。所开发的城市灯光融合产品算法为后端的衍生应用及其他夜间微光遥感产品的反演奠定了技术基础。

Abstract

As part of the next-generation American environmental meteorological satellites, the NPP/Joint Polar Satellite System (JPSS) has introduced the Visible Infrared Image Radiometer Suite (VIIRS) Day and Night Band (DNB) low-light day/night imaging band. DNB employs the ability of defense meteorological satellite program (DMSP)/Operational Linescan System (OLS) to collect global low-light imaging data, which has resulted in a considerably optimized performance. The nighttime city lights can be detected using the VIIRS DNB data. Because of the urgent requirement for city lights in the rapidly developing regions that are located in mid-eastern China, this study comprehensively considers the influence of various important factors, including clouds, moonlight, sunlight, lightning, and fire, while identifying and rejecting low-quality data and non-light characteristic data in addition to adopting VIIRS DNB multi-day nighttime data fusion. The average of multi-day non-moonlit effective radiance data is used to generate monthly nighttime city lights in mid-eastern China. The results that are obtained by analyzing the radiance value of the product are comparable with those obtained by analyzing the National Oceanic and Atmospheric Administration (NOAA) city lights business product. The city lights fusion product algorithm, which is developed in this study, provides the technical foundation to develop the back-end generative application and for the inversion of the remaining low-light remote-sensing nighttime products.

Newport宣传-MKS新实验室计划
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中图分类号:O432

DOI:10.3788/lop55.102804

所属栏目:遥感与传感器

基金项目:国家重点研发计划(2018YFB0504902)、国家自然科学基金(41471302)、国家高技术研究发展计划(863计划)(2015AA123704)、公益气象行业专项(GYHY201506074)

收稿日期:2018-03-16

修改稿日期:2018-04-27

网络出版日期:2018-05-06

作者单位    点击查看

余越:北京理工大学光电学院光电成像技术与系统教育部重点实验室, 北京 100081
胡秀清:中国气象局国家卫星气象中心, 北京 100081中国气象局中国遥感卫星辐射测量和定标重点开放实验室, 北京 100081
闵敏:中国气象局国家卫星气象中心, 北京 100081中国气象局中国遥感卫星辐射测量和定标重点开放实验室, 北京 100081
许廷发:北京理工大学光电学院光电成像技术与系统教育部重点实验室, 北京 100081
何玉青:北京理工大学光电学院光电成像技术与系统教育部重点实验室, 北京 100081
陈林:中国气象局国家卫星气象中心, 北京 100081中国气象局中国遥感卫星辐射测量和定标重点开放实验室, 北京 100081
徐榕焓:中国气象局国家卫星气象中心, 北京 100081

联系人作者:胡秀清(huxq@cma.gov.cn)

【1】Xiang S M, Fan X W, He N, et al. Review on low light level remote sensing imaging technology[J]. Laser & Optoelectronics Progress, 2018, 55(2): 020009.
向世明, 樊学武, 何娜, 等. 微光遥感成像技术研发动态评述[J]. 激光与光电子学进展, 2018, 55(2): 020009.

【2】Fang X. VIIRS daytime night band data application overview[J]. Science and Technology Innovation Herald, 2015(12): 42-43.
方荀. VIIRS白天/夜晚波段数据应用概况[J]. 科技创新导报, 2015(12): 42-43.

【3】Li F, Wei A X, Mi X N, et al. An approach of GDP spatialization in Hebei province using NPP-VIIRS nighttime light data[J]. Journal of Xinyang Normal University (Natural Science Edition), 2016, 29(1): 152-156.
李峰, 卫爱霞, 米晓楠, 等. 基于NPP-VIIRS夜间灯光数据的河北省GDP空间化方法[J]. 信阳师范学院学报(自然科学版), 2016, 29(1): 152-156.

【4】Zheng H, Zeng Y, Wang Y, et al. Urban building density estimation based on the VIIRS night-time satellite data—a case of Nanjing[J]. Science Technology and Engineering, 2014, 14(18): 68-75.
郑辉, 曾燕, 王勇, 等. 基于VIIRS夜间灯光数据的城市建筑密度估算——以南京主城区为例[J]. 科学技术与工程, 2014, 14(18): 68-75.

【5】Li X, Chen Z J, Wu J X, et al. Gridding methods of city permanent population based on night light data and spatial regression models[J]. Journal of Geo-Information Science, 2017, 19(10): 1298-1305.
李翔, 陈振杰, 吴洁璇, 等. 基于夜间灯光数据和空间回归模型的城市常住人口格网化方法研究[J]. 地球信息科学学报, 2017, 19(10):1298-1305.

【6】Hu X H, Liu S T, Pan Z D, et al. Progress in spaceborne shimmer detector and data application[J]. Chinese Journal of Optics, 2015, 8(3): 350-359.
胡晓华, 刘松涛, 潘振东, 等. 星载微光探测仪器的发展及其数据应用[J]. 中国光学, 2015, 8(3): 350-359.

【7】Chen H L, Chen L, Hu X Q, et al. Effect of external stray light on low-light imager loaded in Fengyun-3 day/night orbit meteorological satellite[J]. Laser & Optoelectronics Progress, 2017, 54(5): 050101.
陈海龙, 陈林, 胡秀清, 等. 外部杂散光对风云三号晨昏轨道气象卫星中微光成像仪的影响[J]. 激光与光电子学进展, 2017, 54(5): 050101.

【8】Li H, Li P, Bai H. Principle and application of OLS VIIRS low light imaging[C]. 2009 Jiangsu Provinces and Anhui Province Atmospheric Exploration, Environmental Remote Sensing and Electronic Technology Symposium Album,2009: 372-376.
李昊, 李萍, 白衡. OLS/VIIRS微光成像原理和应用[C]. 2009苏皖两省大气探测、环境遥感与电子技术学术研讨会专辑, 2009: 372-376.

【9】Cao C Y, Shao X, Uprety S. Detecting light outages after severe storms using the S-NPP/VIIRS day/night band radiances[J]. Proceedings of the IEEE, 2013, 10(6): 1582-1586.

【10】Elvidge C D, Baugh K E, 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.

【11】Baugh K, Hsu F C, Elvidge C D, et al. Nighttime lights compositing using the VIIRS day-night band: preliminary results[J]. Proceedings of the Asia-Pacific Advanced Network, 2013, 35: 70-86.

【12】Elvidge C D, Baugh K, Zhizhin M, et al. VIIRS night-time lights[J]. International Journal of Remote Sensing, 2017, 38(21): 5860-5879.

【13】Lee T E, Miller S D, Turk F J, et al. The NPOESS VIIRS day/night visible sensor[J]. Bulletin of the American Meteorological Society, 2006, 87(2): 191-199.

【14】Xia L, Mao K B, Sun Z W, et al. Method for detecting cloud at night from VIIRS data based on DNB[J]. Remote Sensing for Land & Resources, 2014, 26(3): 74-79.
夏浪, 毛克彪, 孙知文, 等. 基于DNB验证的VIIRS夜间云检测方法[J]. 国土资源遥感, 2014, 26(3): 74-79.

【15】Elvidge C D, Zhizhin M, Baugh K, et al. Automatic boat identification system for VIIRS low light imaging data[J]. Remote Sensing, 2015, 7(3): 3020-3036.

【16】Chen M, Hu S, Gao T C, et al. Study on the effect of inhomogeneous aerosol fields on radiative transfer process in near-infrared band[J]. Acta Optica Sinica, 2017, 37(1): 0101003.
陈鸣, 胡帅, 高太长, 等. 气溶胶空间非均匀性对近红外辐射传输的影响分析[J]. 光学学报, 2017, 37(1): 0101003.

【17】Shen J, Cao N W. Inversion of tropospheric aerosol extinction coefficient profile by Mie-Raman scattering lidar[J]. Chinese Journal of Lasers, 2017, 44(6): 0610003.
沈吉, 曹念文. 米-拉曼散射激光雷达反演对流层气溶胶消光系数廓线[J]. 中国激光, 2017, 44(6): 0610003.

【18】Johnson R S, Zhang J, Hyer E J, et al. Preliminary investigations toward nighttime aerosol optical depth retrievals from the VIIRS day/night band[J]. Atmospheric Measurement Techniques, 2013, 6(5): 1245-1255.

【19】Yang M X. The coarse error eliminating in small sample space[J]. Metrology and Measurement Technique, 2005, 32(1): 27-28.
杨茂兴. 小样本容量测量数据中粗差的剔除[J]. 计量与测试技术, 2005, 32(1): 27-28.

引用该论文

Yu Yue,Hu Xiuqing,Min Min,Xu Tingfa,He Yuqing,Chen Lin,Xu Ronghan. NPP/Visible Infrared Image Radiometer Suite Low-Light Image Fusion Algorithm for City Lights in Mid-Eastern China[J]. Laser & Optoelectronics Progress, 2018, 55(10): 102804

余越,胡秀清,闵敏,许廷发,何玉青,陈林,徐榕焓. NPP/VIIRS微光图像融合中国中东部城市灯光算法[J]. 激光与光电子学进展, 2018, 55(10): 102804

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