测绘通报 ›› 2019, Vol. 0 ›› Issue (7): 122-126.doi: 10.13474/j.cnki.11-2246.2019.0233

• 夜光遥感技术及应用 • 上一篇    下一篇

NPP/VIIRS多时相夜光遥感影像校正方法

李明峰, 蔡炜珩   

  1. 南京工业大学测绘科学与技术学院, 江苏 南京 211816
  • 收稿日期:2018-09-28 出版日期:2019-07-25 发布日期:2019-07-31
  • 作者简介:李明峰(1964-),男,博士,教授,主要从事大地测量数据处理研究。E-mail:njuter@163.com
  • 基金资助:
    南京市科技计划项目(201716027);江苏省重点研发计划项目(BE2015698)

Calibration for multi-temporal NPP/VIIRS nighttime light remote sensing images

LI Mingfeng, CAI Weiheng   

  1. School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China
  • Received:2018-09-28 Online:2019-07-25 Published:2019-07-31

摘要: 针对NPP/VⅡRS影像含有短暂光源和背景噪声的问题,研究了月度影像的辐射特征,提出了多时相夜光遥感影像校正方法。该方法采用峰值特征化放大影像的辐射差异,通过卷积运算区分稳定像元与异常像元,结合最大熵阈值自适应滤波分割了卷积边界的混淆噪声。试验结果表明,该方法修正了原始影像的异常波动,剔除了异常像元,影像拟合经济数据的能力明显提升,弥补了夜光数据微观小尺度研究的缺失,可为社会经济数据动态评估提供新的途径。

关键词: NPP/VIIRS, 影像校正, 最大熵阈值, 结果评价, 夜光遥感

Abstract: To solve the problem of ephemeral lights source and background noise for NPP/VⅡRS images, the multi-temporal nighttime light remote sensing images calibration method is proposed based on the radiation characteristics of monthly images. The radiation difference of the images is amplified by the spike characterization. The high-pass convolution operation is used to distinguish the stable pixel from the abnormal pixel. On the basis of this, an adaptive threshold segmentation method called the maximum entropy is used to resegment the aliasing noise at the convolution boundary. Through analysis of experimental results, the abnormal fluctuation of the original image is corrected, and the abnormal pixels are eliminated. After calibration, the correlation between VⅡRS data and quarterly economic data is stronger. The lack of micro-scale research on nighttime light remote sensing data is compensated, and the dynamic assessment for socio-economic data is provided with new ways.

Key words: NPP/VIIRS, image calibration, maximum entropy thresholds, result evaluation, nighttime light remote sensing

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