@article{fdi:010063189,
  title = {{O}n the use of the {R}adon transform to estimate longshore currents from video imagery},
  author = {{L}arnier, {S}. and {A}lmar, {R}afa{\¨e}l and {C}ienfuegos, {R}. and {L}ejay, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n nearshore applications, the estimation of longshore currents is of primary importance since it controls the alongshore sediment transport and coastal evolution. {D}irect estimation of longshore currents using in-situ instruments is difficult and costly, especially under highly energetic wave climates. {L}ow cost remote sensing systems based on video observations constitute a promising alternative when the drifting sea foam left after the passage of breaking waves is visible. {I}n this paper we describe a method based on longshore timestacks that necessitates less data than approaches using the full video frames. {O}ur approach uses the {R}adon transform applied on the time series derived from timestacks to produce an estimate of the longshore component of nearshore surface currents detected from the foam signature in video images. {T}he {R}adon transform can be used to separate the wave crests from the drifting foam part. {T}he identification of the longshore drift is enhanced with both a temporal and a spatial filters. {T}he corresponding sinogram from the {R}adon transform is computed in order to find the angle of the alongshore drifting that is further converted into the longshore component of the surface currents. {F}or the estimation of longshore currents, our approach is first tested using synthetic timestack examples created using anisotropic {G}aussian random current fields. {C}omparisons between estimates derived by our algorithm and manual operator detection from videos are performed showing good agreement. {T}hese videos come from a field campaign conducted in the {M}ataquito {R}iver mouth area in the {M}aule region ({C}hile). {F}ield test comparisons were also made against in situ current meter from the 2008 {T}rue {V}ert experiment in {A}quitaine ({F}rance). {I}t was taking place during an energetic event.},
  keywords = {{L}ongshore current ; remote sensing ; image processing ; {R}adon transform ; anisotropic {G}aussian random fields ; {CHILI} ; {FRANCE}},
  booktitle = {},
  journal = {{J}ournal of {C}oastal {R}esearch},
  numero = {no sp{\'e}cial 70},
  pages = {23--28},
  ISSN = {0749-0208},
  year = {2014},
  DOI = {10.2112/si70-005.1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010063189},
}