Whittaker-Henderson smoother for long satellite image time series interpolation

1. 1Cast the Whittaker smoother as a differentiable neural layer
2. 2Tune the smoothing parameter for each pixel using backpropagation
3. 3Apply the Whittaker-Henderson smoother to long satellite image time series interpolation
4. 4Evaluate the performance of the smoother using metrics such as mean squared error

Data scientists and AI engineers working with satellite image time series data can benefit from this approach to improve data quality and accuracy

💡 The Whittaker-Henderson smoother can be used as a differentiable neural layer to improve satellite image time series interpolation

💡 Whittaker-Henderson smoother for satellite image time series interpolation