基于Google Earth Engine的重庆市植被指数长时间序列S-G滤波方法的改进与实现
吴川虎,陶于祥,罗小波

Reconstruction of Chongqing’s Long Time-series NDVI through an Improved S-G Filter based on Google Earth Engine
Chuanhu Wu,Yuxiang Tao,Xiaobo Luo
表4 样本点的相关性与平滑度
Table 5 Correlation and smoothness of three sample points
样本点SGPearsonWSGPearson原始平滑度SG平滑度WSG平滑度
170.530.720.520.770.56
260.710.760.520.820.51
390.690.820.440.760.55