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Conference papers

Analysis of dense coregistration methods applied to optical and SAR time-series for ice flow estimations

Abstract : This article considers the application of two dense coregistration algorithms to the estimation of ice flow. These algorithms estimate displacements at each pixel of the image and can be applied to pairs of radar, optical and radar/optical images. This flexibility combined with the dense estimation should improve both spatial and temporal resolutions of glacier displacement maps. Several tests are carried out on Sentinel-1 and Sentinel-2 images on Totten glacier in Antarctica. We assess the reliability of the considered algorithms by applying them to real and emulated pairs of images based on displacement fields previously estimated in the literature.
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https://hal.archives-ouvertes.fr/hal-03103824
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Submitted on : Friday, January 8, 2021 - 1:57:46 PM
Last modification on : Friday, March 18, 2022 - 3:23:48 AM
Long-term archiving on: : Friday, April 9, 2021 - 6:58:32 PM

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Laurane Charrier, Pierre Godet, Clément Rambour, Flora Weissgerber, Simon Erdmann, et al.. Analysis of dense coregistration methods applied to optical and SAR time-series for ice flow estimations. 2020 IEEE Radar Conference (RadarConf20), Sep 2020, Florence, Italy. pp.1-6, ⟨10.1109/RadarConf2043947.2020.9266643⟩. ⟨hal-03103824⟩

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