Cloud Detection by Disparity Phase Analysis for Pushbroom Satellite Imagers
Tristan Dagobert, Rafael Grompone von Gioi, Carlo de Franchis, Jean-Michel Morel
⚠ This is a preprint. It may change before it is accepted for publication.


This paper proposes a cloud detector for earth observation images obtained by a push-broom satellite imager. This particular technology induces an inter-channel acquisition delay leading to a parallax effect for the clouds. We propose a method exploiting this characteristic thanks to the analysis of the visible inter-bands disparity maps. Several other features discriminating clouds are also defined and all are merged to build a robust a contrario statistical decision. Experiments applied on scenes acquired by various push-broom satellites such that Sentinel-2, Rapideye and Worldview-2 show the effectiveness of the proposed method. In particular, we demonstrate 97% and 98% success rates for cloud and non cloud classification for Sentinel-2 images.