Wave runup video motion detection using the Radon Transform

Abstract A new method of runup detection from video imagery is introduced and validated at an energetic dissipative beach. The instantaneous waterline is detected from uprush and backwash by using the Radon Transform (RT). The method is compared to conventional color contrast method from RGB images and LiDAR measurements. In 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. Because the RT is a proxy of deeper waterline (∼0.1 m) it is less sensitive to lack of contrast due to sand saturation. Moreover, since it is based on motion detection, it is less sensitive to changes in lighting conditions. Overall, the RT offers an attractive alternative for long term automated detection of the runup.

[1]  B. Castelle,et al.  On the use of the Radon transform to estimate longshore currents from video imagery , 2016 .

[2]  R. Slocum,et al.  Lidar and pressure measurements of inner-surfzone waves and setup , 2015 .

[3]  K. Holland.  Foreshore dynamics : swash motions and topographic interactions on natural beaches , 1995 .

[4]  Ian L Turner,et al.  The Performance of Shoreline Detection Models Applied to Video Imagery , 2007 .

[5]  Richard O. Duda,et al.  Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.

[6]  Bernardo Wagner,et al.  The role of combined laser scanning and video techniques in monitoring wave-by-wave swash zone processes , 2014 .

[7]  B. Ruessink,et al.  The use of video imagery to analyse groundwater and shoreline dynamics on a dissipative beach , 2011 .

[8]  Philippe Bonneton,et al.  On the use of the Radon Transform in studying nearshore wave dynamics , 2014 .

[9]  Tom E. Baldock,et al.  Swash zone boundary conditions derived from optical remote sensing of swash zone flow patterns , 2011 .

[10]  G. Farquharson,et al.  Comparison of optical and radar measurements of surf and swash zone velocity fields , 2003 .

[11]  Christopher F. Barnes,et al.  Depth Inversion in the Surf Zone with Inclusion of Wave Nonlinearity Using Video-Derived Celerity , 2011 .

[12]  Ian L Turner,et al.  A video-based technique for mapping intertidal beach bathymetry , 2003 .

[13]  Gerhard Masselink,et al.  Swash-zone morphodynamics , 2006 .

[14]  K. T. Holland,et al.  The statistical distribution of swash maxima on natural beaches , 1993 .

[15]  T. Baldock,et al.  Eulerian flow velocities in the swash zone: Field data and model predictions , 2004 .

[16]  J. Radon.  On the determination of functions from their integral values along certain manifolds , 1986, IEEE Transactions on Medical Imaging.

[17]  R. V. Morris,et al.  Acid sulfate alteration of fluorapatite, basaltic glass and olivine by hydrothermal vapors and fluids: Implications for fumarolic activity and secondary phosphate phases in sulfate‐rich Paso Robles soil at Gusev Crater, Mars , 2013 .

[18]  K. Holland,et al.  Estimating swash zone friction coefficients on a sandy beach , 2001 .

[19]  Maurizio Brocchini,et al.  Recent advances in modeling swash zone dynamics: Influence of surf‐swash interaction on nearshore hydrodynamics and morphodynamics , 2008 .

[20]  J. Puleo.  Tidal Variability of Swash-Zone Sediment Suspension and Transport , 2009 .

[21]  Zhanhui Qi,et al.  Wave swash velocity estimation using ridgelet transform , 2009, 2009 9th International Conference on Electronic Measurement & Instruments.

[22]  Nathaniel G. Plant,et al.  Intertidal beach profile estimation using video images , 1997 .

[23]  T. Aagaard,et al.  Digitization of Wave Run-Up Using Video Records , 1989 .

[24]  Luis Pedro Almeida,et al.  Observations of gravel beach dynamics during high energy wave conditions using a laser scanner , 2015 .

[25]  S. Deans.  The Radon Transform and Some of Its Applications , 1983 .

[26]  Rob Holman,et al.  Remote sensing of the nearshore. , 2013, Annual review of marine science.

[27]  Gerhard Masselink,et al.  Field investigation of sediment transport in the swash zone , 1998 .

[28]  Ian L Turner,et al.  Wave runup and overwash on a prototype-scale sand barrier , 2016 .

[29]  R. Almar,et al.  The influence of swash-based reflection on surf zone hydrodynamics: a wave-by-wave approach , 2017 .

[30]  R. Holman,et al.  The history and technical capabilities of Argus , 2007 .

[31]  M. Vousdoukas.  Observations of wave run-up and groundwater seepage line motions on a reflective-to-intermediate, meso-tidal beach , 2014 .

[32]  B. Castelle,et al.  Video monitoring and field measurements of a rapidly evolving coastal system: the river mouth and sand spit of the Mataquito River in Chile , 2014 .

[33]  M. A. Fiddy,et al.  The Radon Transform and Some of Its Applications , 1985 .

[34]  Giovanni Coco,et al.  Wave runup during extreme storm conditions , 2011 .

[35]  Mohan M. Trivedi,et al.  Localized Radon transform-based detection of ship wakes in SAR images , 1995, IEEE Trans. Geosci. Remote. Sens..

[36]  K. Bryan,et al.  Observations of wave energy fluxes and swash motions on a low‐sloping, dissipative beach , 2013 .

[37]  William L. Peirson,et al.  Measurements of the time-varying free-surface profile across the swash zone obtained using an industrial LIDAR , 2010 .

[38]  D. Roelvink,et al.  Video-Based Detection of Shorelines at Complex Meso–Macro Tidal Beaches , 2012 .

[39]  Robert A. Holman,et al.  Setup and swash on a natural beach , 1985 .

[40]  K. Holland,et al.  Quantification of swash flows using video-based particle image velocimetry , 2001 .

[41]  Nathaniel G. Plant,et al.  Practical use of video imagery in nearshore oceanographic field studies , 1997 .