The evolution of the antarctic ice cap is a subject of the utmost importance for the climate science. For this reason exploiting the historic archive of SPOT 5 HRS binocular stereo imagery over the Antarctica has gained interest. However, estimating surface models of Antarctica from optical satellite imagery is a challenging task. Different factors contribute to its difficulty: the reduced contrast of the snow, the abrupt changes in elevation, and the persistent cloud cover that is often indistinguishable from the snowy ground, or is translucent, or projects shadows on the ground; all of them hinder stereo matching. For these reasons the direct application of existing satellite stereo pipelines on these images often yields unsatisfactory results. In this study we explore strategies to address these problems and improve 3D modeling on these regions. We adapt the S2P  pipeline and incorporate a new multiscale strategy that allows to deal with incorrect geometry estimation due to clouds or lack of texture. In addition, integrating existing very low resolution DSM (1 km per pixel) of the Antarctica allows to further filter the model to produce a cleaner 3D model.
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