@article{fdi:010071388,
  title = {{W}ave runup video motion detection using the {R}adon {T}ransform},
  author = {{A}lmar, {R}afa{\¨e}l and {B}lenkinsopp, {C}. and {A}lmeida, {L}. {P}. and {C}ienfuegos, {R}. and {C}atalan, {P}. {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} new method of runup detection from video imagery is introduced and validated at an energetic dissipative beach. {T}he instantaneous waterline is detected from uprush and backwash by using the {R}adon {T}ransform ({RT}). {T}he method is compared to conventional color contrast method from {RGB} images and {L}i{DAR} measurements. {I}n our observations, the {RT} shows better detection skill even for adverse conditions, such as those present on flat dissipative swash zones where contrast is reduced. {B}ecause the {RT} is a proxy of deeper waterline (similar to 0.1 m) it is less sensitive to lack of contrast due to sand saturation. {M}oreover, since it is based on motion detection, it is less sensitive to changes in lighting conditions. {O}verall, the {RT} offers an attractive alternative for long term automated detection of the runup.},
  keywords = {{N}earshore ; {I}mage processing ; {R}adon {T}ransform ; {L}i{DAR} ; {S}wash zone ; {S}horeline ; {F}low motion ; {G}roundwater seepage ; {CHILI} ; {PACIFIQUE} ; {MATAQUITO}},
  booktitle = {},
  journal = {{C}oastal {E}ngineering},
  volume = {130},
  numero = {},
  pages = {46--51},
  ISSN = {0378-3839},
  year = {2017},
  DOI = {10.1016/j.coastaleng.2017.09.015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071388},
}