植被遥感时间序列数据重建方法简述及示例分析
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李伟光, 侯美亭
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A review of reconstruction methods for remote-sensing-based time series data of vegetation and some examples
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LI Weiguang, HOU Meiting
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表1 基于模拟NDVI序列的不同数据重建方法的RMSE对比
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Tab.1 Comparison of RMSE for different data reconstruction methods based on simulated NDVI time series
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| RMSEall | RMSEgap | 数据缺失比例
/% | 线性插值 | SSA | Whittaker | HANTS | 线性插值 | SSA | Whittaker | HANTS | | 10 | <0.000 1 | 0.096 6 | <0.000 1 | 0.045 6 | 0.012 6 | 0.105 4 | 0.000 8 | 0.061 2 | | 20 | <0.000 1 | 0.004 8 | <0.000 1 | 0.045 4 | 0.014 7 | 0.004 0 | 0.000 8 | 0.067 7 | | 30 | <0.000 1 | 0.077 5 | <0.000 1 | 0.043 6 | 0.015 0 | 0.085 3 | 0.001 0 | 0.073 1 | | 40 | <0.000 1 | 0.102 3 | <0.000 1 | 0.023 8 | 0.024 1 | 0.110 0 | 0.002 4 | 0.049 2 |
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