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Validate the universal pattern decomposition method using satellite data acquired over the Three Gorges region

机译:使用三峡区域获取的卫星数据验证通用模式分解方法

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The universal pattern decomposition method (UPDM) has been successfully applied to simulated data for Landsat/ETM+, Terra/MODIS, ADEOS-II/GLI and 92 bands-CONTINUE sensors using ground-measured data. This paper validates the UPDM using MODIS and ETM+ data acquired over the Three Gorges region of China. The reduced 2 values of selected area D, that with the smallest terrain influences, are 0.000409 (MODIS) and 0.000181 (ETM+), and the average linear regression factor between MODIS and ETM+ is 1.0077, with rms 0.0082. The results demonstrated that the UPDM coefficients are sensor-independent.
机译:使用地面测量数据成功地应用于Landsat / ETM +,Terra / Modis,ADEOS-II / GLI和92条带继续传感器的模拟数据的通用模式分解方法(UPDM)。本文验证了使用MODIS和ETM +数据在中国的三峡地区获取的ETM +数据。所选区域D的2个值减少,具有最小的地形影响,为0.000409(MODIS)和0.000181(ETM +),MODIS和ETM +之间的平均线性回归因子为1.0077,RMS 0.0082。结果表明,UPDM系数是传感器无关的。

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