@article{fdi:010067652,
  title = {{O}n the use of the {R}adon transform to estimate longshore currents from video imagery},
  author = {{A}lmar, {R}afa{\¨e}l and {L}arnier, {S}. and {C}astelle, {B}. and {S}cott, {T}. and {F}loc'h, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} direct estimation of longshore currents using in-situ instruments is difficult and costly, and often limited to punctual measurements over short durations. {V}ideo remote sensing systems offer an alternative when drifting features, like foam induced by breaking waves or other streaks, are visible. {I}n this paper we describe a method based on the application of the {R}adon transform on longshore spatio-temporal images. {T}he sinogram from the {R}adon transform is used to find the angle of the drifting, further converted into current. {O}ur approach is first tested using synthetic fields created using anisotropic {G}aussian random currents and waves. {C}omparison is also made with in-situ currents from the {G}rand {P}opo 2014 experiment in {B}enin ({G}ulf of {G}uinea, {W}est {A}frica). {R}esults show an overall good agreement ({O}(30%)) in the swash, surf and inner shelf zones while the method offers best skills in the surf zone (17%) where the drifting foam induced by wave breaking is evident. {T}he width of the {R}adon peak is found to be a good proxy of accuracy. {T}his remote sensing method allows a long term monitoring of the longshore current and its cross-shore structure, which brings new perspectives in quantifying sediment drift variability.},
  keywords = {{N}earshore ; {V}ideo imagery ; {A}nisotropic {G}aussian random fields ; {R}emote sensing ; {G}rand {P}opo ; {B}enin ; {BENIN} ; {ATLANTIQUE} ; {GUINEE} {GOLFE} ; {GRAND} {POPO} {PLAGE}},
  booktitle = {},
  journal = {{C}oastal {E}ngineering},
  volume = {114},
  numero = {},
  pages = {301--308},
  ISSN = {0378-3839},
  year = {2016},
  DOI = {10.1016/j.coastaleng.2016.04.016},
  URL = {https://www.documentation.ird.fr/hor/fdi:010067652},
}