@misc{chernyshov_rapid_waveletbased_2020, 
author={Chernyshov, P., Vrecica, T., Streßer, M., Carrasco, R., Toledo, Y.},
title={Rapid wavelet-based bathymetry inversion method for nearshore X-band radars},
year={2020},
howpublished = {journal article},
doi = {https://doi.org/10.1016/j.rse.2020.111688},
abstract = {In order to verify the proposed method, 2D simulations of wave shoaling and refraction were performed for different sea conditions and over several bottom topographies. A radar image model including tilt and shadowing modulations together with speckle noise was applied to the simulated surface elevations to provide synthetic radar images. The method's ability to reconstruct the original bathymetry is shown to be robust in intermediate to shallow water depths (kph < 1) for all cases. The method was also applied to real data acquired in Sylt island (Germany). A comparison between a bathymetric survey held prior to a storm and a radar reconstructed one during the storm shows very good agreement. These results reassure the high capability of this new method to be used in operational settings.},
note = {Online available at: \url{https://doi.org/10.1016/j.rse.2020.111688} (DOI). Chernyshov, P.; Vrecica, T.; Streßer, M.; Carrasco, R.; Toledo, Y.: Rapid wavelet-based bathymetry inversion method for nearshore X-band radars. Remote Sensing of Environment. 2020. vol. 240, 111688. DOI: 10.1016/j.rse.2020.111688}}