Spatiotemporal Interpolation Methods of NPP/VIIRS Sequence Images Considering Neighbor Relationships
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摘要: 针对月度夜光遥感影像VIIRS （Visible Infrared Imaging Radiometer Suite）数据缺失问题，提出一种利用地物邻近关系相关性的像元时空插值方法，以时、空关系互相作为约束条件，将时序变化一致性较好的像元数据作为空间插值的参考，将空间关系一致性较好的月度数据作为时序插值的参考，通过构建不同的卷积核在时序和空间维度分别对初步插值结果进行卷积运算，求得待插值像元的时空插值。以2015年江苏省月度夜光遥感影像修复为例，对不同维度时空插值方法进行对比分析，结果表明：（1）空间维度插值虽然顾及到像元的空间关联性，仍无法满足数据大范围缺失的插值要求，插值结果整体偏低；（2）时间维度插值考虑到像元的时间趋势性，插值精度较空间维度插值有一定提高，但部分月份插值结果有较大偏差；（3）相对于三次Hermit插值，时空插值方法获得的月度影像灯光亮度总和的最大相对误差、年度影像灯光亮度总和相对误差以及逐像元差值均显著降低。总的来看，本文中时空插值方法在插值过程中同时顾及到VIIRS数据的时间趋势平稳性和空间结构稳定性，影像插值精度提高明显，且该方法对待插值月份前后时序数据没有严格要求，更具有广泛性。Abstract: For the problem of night-time data missing in VIIRS monthly composites, this study proposes a spatiotemporal interpolation method based on the correlation of adjacent pixel features. The time-space relationship is used as a constraint condition, pixel data with better time series consistency is regard as the reference of Interpolation in spatial dimension, monthly data with good spatial relationship consistency is regard as the reference of interpolation in time dimension, by constructing different convolution kernels, the missing data is interpolated in time and space dimensions respectively, and the results of missing data are weighted by different dimensional interpolation result. Take the data of Jiangsu Province in 2015, the experimental analysis is carried out. The experimental results show that:(1) Spatial dimensional interpolation takes into account the spatial correlation of pixels, it still cannot meet the interpolation requirements of large-scale data missing, and results generally in low;(2) The time dimension interpolation takes into account the time trend of the pixel, and the interpolation precision has a certain improvement compared with the spatial dimension interpolation, but the partial interpolation result has a large deviation; (3) Compared with the three-time Hermit interpolation, the maximum relative error of the monthly image light brightness sum obtained by the spatio-temporal interpolation method, the relative error of the annual image light brightness sum, and the pixel-by-pixel difference are significantly reduced. In general, the spatiotemporal interpolation method takes into account the time stability and spatial structure stability of NPP/VIIRS data, accuracy of interpolation improved obviously, and the method does not have strict requirements on the time series data before and after interpolation month, it's more extensive.
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Key words:
- NPP/VIIRS /
- night-time light /
- convolution operation /
- spatiotemporal interpolation /
- image repairing
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