朱孝林博士发布遥感影像时间序列重建程序包

+ 查看更多

遥感影像时间序列对地表动态监测非常有用，但是图像上常常有云、云阴影等因素的影响，导致时间序列上具有很多缺失值。朱孝林博士开发了系列算法，完成云检测、缺失数据插补等功能，并最新发布了相应程序包。

点此查看详情

[1] Zhu, X., and Helmer E.H. (2018) An automatic method for screening clouds and cloud shadows in optical satellite image time series in cloudy regions. Remote sensing of environment, 214, 135-153.

[2] Zhu, X., Gao, F., Liu, D., & Chen, J.* (2012). A modified neighborhood similar pixel interpolator approach for removing thick clouds in Landsat images. IEEE Geoscience and Remote Sensing Letters, 9(3), 521-525.

[3] Chen, J.*, Zhu, X., Vogelmann, J. E., Gao, F., & Jin, S. (2011). A simple and effective method for filling gaps in Landsat ETM+ SLC-off images. Remote sensing of environment, 115(4), 1053-1064.