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2 基于GIMMS NDVI时间序列的不同数据重建方法的RMSE
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Tab.2 Comparison of RMSE for different data reconstruction methods based on 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 | 0.034 1 | 0.007 8 | 0.044 4 | 0.048 2 | 0.052 3 | 0.044 0 | 0.055 5 | | 20 | <0.000 1 | 0.035 8 | 0.026 1 | 0.042 3 | 0.056 5 | 0.043 0 | 0.056 6 | 0.061 9 | | 30 | <0.000 1 | 0.034 0 | 0.000 9 | 0.042 3 | 0.058 4 | 0.046 1 | 0.060 4 | 0.057 3 | | 40 | <0.000 1 | 0.031 2 | <0.000 1 | 0.040 4 | 0.061 0 | 0.045 3 | 0.066 0 | 0.061 2 |
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