Multispectral spaceborne sensors are characterized by a short revisit time and by additional spectral bands with respect to natural images. Exploiting the resulting high dimensionality of satellite image time series, sparse reconstruction algorithms can be exploited to synthetically reconstruct the areas obscured by thick clouds in a given acquisition, if enough cloud-free images are available on the same area.

This presentation is part of Minisymposium “MS45 - Mathematical techniques for bad visibility restoration”
organized by: Javier Vazquez-Corral (Information and Communication Technologies Department, Universitat Pompeu Fabra) .

Authors:

Daniele Cerra (German Aerospace Center (DLR), Remote Sensing Technology Institute, Photogrammetry and Image Analysis, Oberpfaffenhofen)

Keywords:

clouds, earth observation, image reconstruction, image time series, satellite, sparse reconstruction