A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Analysis of dense coregistration methods applied to optical and SAR time-series for ice flow estimations
2020
2020 IEEE Radar Conference (RadarConf20)
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
doi:10.1109/radarconf2043947.2020.9266643
fatcat:pzlz37gsyjc4ragih6zzwgsnua