任华忠 研究员

北京大学地球与空间科学学院遥感与地理信息系统研究所研究员,长聘副教授,博士生导师。主要研究方向:热红外遥感,开展多源热红外遥感数据的地表温度与发射率反演方法研究、地表温度角度归一化、红外遥感影像目标识别、热异常监测等研究工作。国家自然科学基金委优秀青年基金获得者;获高校GIS创新人物奖(2022)、李小文遥感科学青年奖(2019)、北京市科技新星人才计划(2017)、科技部国家遥感中心遥感青年科技人才创新计划(2016);入选中国科学院-美国科学院空间科学新领军人物(2019);担任全球定量遥感最新进展国际会议(International Symposium on Recent Advances in Quantitative Remote Sensing)科学委员会委员、中国遥感应用...

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Atmospheric correction for nighttime light image using radiative transfer model

发布时间: 2025-05-26 点击次数:

  • 影响因子:7.5
  • DOI码:10.1109/TGRS.2025.3568921
  • 发表刊物:IEEE Transactions on Geoscience and Remote Sensing
  • 关键字:Atmospheric correction, nighttime light (NTL) radiative transfer model (RTM) Sustainable Development Goals Science Satellite 1 (SDGSAT-1)
  • 摘要:Nighttime light (NTL) remote sensing data has been widely used in various fields, such as human activity analysis, urbanization studies, and economic evaluation. However, Earth’s nighttime environment is very complex so that the NTL images are seriously affected by atmospheric effect and moonlight. This complexity primarily stems from the numerous atmospheric scattering and absorption, as well as the incoming moonlight, which can significantly distort and contaminate nighttime light observed by the satellite and consequently reduce the precision and stability of NTL data. In order to improve the quantitatively quality of the NTL data, this paper proposes an innovative atmospheric correction algorithm that leverages the nighttime radiative transfer model (nRTM) considering both atmospheric effect and moonlight effect to get ground radiance of artificial lights from satellite nighttime light images. This model takes into account the complex interactions between light and the atmosphere. By simulating these processes, the algorithm is able to separate the contributions of atmospheric scattering and absorption from the original NTL images. To demonstrate the effectiveness of the proposed algorithm, this paper takes the SDGSAT-1 NTL image of Beijing as a representative case study of atmospheric correction. By comparing the corrected and uncorrected images, it is evident that the atmospheric correction significantly improves the quality of the NTL data and the ground nighttime lighting information becomes clearer and more accurate, effectively removing noise interference and enhancing data reliability. Moreover, it also found that the high-pressure sodium (HPS) lamps and LED lamps in the NTL images presented different radiance values and spectral shapes that can be helpful for classifying different lamps.
  • 论文类型:期刊论文
  • 论文编号:4105016
  • 学科门类:工学
  • 一级学科:测绘科学与技术
  • 文献类型:J
  • 卷号:63
  • 是否译文:
  • 收录刊物:SCI、EI
  • 发布期刊链接:https://ieeexplore.ieee.org/document/11000276
  • 第一作者:Hongqin Zhang
  • 通讯作者:Huazhong Ren
  • 全部作者:Fengguang Li,Songyi Lin,Hanlin Ye,Chenchen Jiang,Jinshun Zhu,Baozhen Wang
  • 发表时间:2025-05-12