PROJECT TITLE :
Focused Synthetic Aperture Radar Processing of Ice-Sounding Data Collected Over the East Antarctic Ice Sheet via the Modified Range Migration Algorithm Using Curvelets
During this paper, we propose a new algorithm to deal with the speckle noise problem in imaging of ice sheets. It is a wave-equation-based ice-sounding imaging technique using curvelets as building blocks of ice-sounding information, that successfully images the topography of ice sheets. 1st, theory analysis has been carried on to the proposed algorithm. Then, we tend to provide the particular steps to implement this algorithm. Finally, we have a tendency to apply this algorithm to the simulation point targets and High-Resolution Ice-Sounding Radar data to prove its validity of imaging of ice sheets. Furthermore, compared with five previous ways in 2 major aspects—the facility of clutter reduction and the equivalent variety of appearance—the proposed algorithm reduces the speckle noise during the imaging processing while not degrading the ability in muddle reduction.
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