Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array

TL;DR

This paper presents a comprehensive dataset of polarimetric images and surface elevation measurements of water waves in a laboratory setting, facilitating advanced research in water surface analysis using machine learning.

Contribution

The authors provide a novel, high-resolution dataset combining polarimetric images with wave gauge data, enabling improved analysis of water surface waves and supporting machine learning applications.

Findings

Dataset includes diverse wave conditions and breaking scenarios.

High spatio-temporal resolution achieved through calibration and synchronization.

Supports machine learning for water surface analysis.

Abstract

Effective spatio-temporal measurements of water surface elevation (water waves) in laboratory experiments are essential for scientific and engineering research. Existing techniques are often cumbersome, computationally heavy and generally suffer from limited wavenumber/frequency response. To address these challenges a novel method was developed, using polarization filter equipped camera as the main sensor and Machine Learning (ML) algorithms for data processing [1,2]. The developed method training and evaluation was based on in-house made supervised dataset. Here we present this supervised dataset of polarimetric images of the water surface coupled with the water surface elevation measurements made by a linear array of resistance-type wave gauges (WG). The water waves were mechanically generated in a laboratory waves basin, and the polarimetric images were captured under an artificial light source. Meticulous camera and WGs calibration and instruments synchronization supported high spatio-temporal resolution. The data set covers several wavefield conditions, from simple monochromatic wave trains of various steepness, to irregular wavefield of JONSWAP prescribed spectral shape and several wave breaking scenarios. The dataset contains measurements repeated in several camera positions relative to the wave field propagation direction.