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

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

    摘要
  • 摘要: 近年来, 夜间灯光影像被广泛应用于城市建成区提取, 但由于数据分辨率低以及灯光溢出效应的影响, 提取的建成区结果精度有待提高。基于中国珞珈一号01星(Luojia 1-01)和美国国家极地轨道伙伴卫星搭载的可见光红外成像辐射仪(national polar-orbiting partnership's visible infrared imaging radiometer suite, NPP/VIIRS)提供的两种夜间灯光影像, 提出了夜间灯光&兴趣点(nighttime light & point of interest, NTL&POI)综合指数, 首先利用阈值法实现了NTL&POI综合指数处理前后的建成区提取, 然后与参考建成区进行对比分析。结果表明, NTL&POI综合指数在反映建成区整体形态的同时, 也保留了其边界等细节信息; 景观格局指数表明, 建成区提取结果有更好的连通度和复杂度; 查准率、查全率和F1分数证明NTL&POI综合指数有效提高了建成区的提取精度, Luojia 1-01结果提升了约5%, NPP/VIIRS结果提升了约3%, 且在发展程度不一的主城区和非主城区均取得良好的效果。相较于NPP/VIIRS, Luojia 1-01融合POI后, 能在保证高精度的同时, 在建成区边界和细节信息方面表现更优, 具有广阔的应用前景。

     

    Abstract:
      Objectives  In recent years, nighttime light images have been widely used in urban built-up area extraction. However, the accuracy of the extraction results is not satisfactory due to the low data resolution and the blooming effect.
      Methods  To solve this problem, the NTL(nighttime light) & POI(point of interest)composite index is proposed, which is based on the nighttime light images of Luojia 1-01 of China and NPP/VIIRS(national polar-orbiting partnership's visible infrared imaging radiometer suite) of the United States. The threshold method is used to extract the built-up areas before and after NTL&POI composite index processing.
      Results  Compared with the reference built-up areas, results extracted by NTL&POI composite index not only reflect the overall shape of the built-up areas but also retain details such as boundary information. The landscape pattern indexes indicate that the extracted results have better connectivity and complexity. Recall, precision and F1 score prove that NTL&POI composite index effectively improves the extraction accuracy of built-up areas, and achieves good results in main and non-main urban areas with different development degrees. Combined with POI data, the extraction accuracy of built-up areas of Luojia 1-01 increases by approximately 5% and that of NPP/VIIRS increases by about 3%.
      Conclusions  Compared with NPP/VIIRS, Luojia 1-01 ensures high precision and satisfying performance in terms of boundary and detail information of built-up areas, which brings it a broad application prospect.

     

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