Using polarization to estimate surface normals at air–water interfaces for correction of refraction in seafloor imaging

The retrieval of sea surface normal vectors using shape-from-polarization is investigated for the purpose of correcting for refraction at the water-air interface when imaging from above the water. In shallow clear water and overcast conditions, spectral longpass filtering (using a hard-coated 850 nm cut-on wavelength filter) is demonstrated to 1) avoid artifacts from the ground in the measured polarization state, and 2) reduce polarization from water-leaving radiance sufficiently to derive shape information exclusively from the polarization produced by specular reflection. The dependence of the method on meteorological conditions is studied. Measurements are performed with a commercial polarization filter array (PFA) camera. Due to the decreasing PFA efficiency towards the near-infrared, rigorous characterization and calibration measurements were performed and recommendations (e.g., on the f-number) elaborated. Overcoming the paraxial approximation, normal vectors are then retrieved with systematic errors of 0.1<sup>∘</sup> (image center) to 0.5<sup>∘</sup>-0.8<sup>∘</sup> (edges/corners) for a flat water surface. An image of the sea floor corrected for surface refraction shows maximum displacements of 10-20 pixels only (corresponding to 0.25<sup>∘</sup>) with respect to a validation image without water.

Authors

Institutions

Publication Details

Journal
Applied Optics
Published
2024-11-25
DOI
https://doi.org/10.1364/ao.544305
Citations
1
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
0.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using polarization to estimate surface normals at air–water interfaces for correction of refraction in seafloor imaging

Enno Peters, Gary A. Atkinson, Maurice Stephan
1 citations
Applied Optics
Underwater Acoustics Research
0.48
article

Using polarization to estimate surface normals at air–water interfaces for correction of refraction in seafloor imaging

Enno Peters, Gary A. Atkinson, Maurice Stephan
article en
1 citations

Abstract

The retrieval of sea surface normal vectors using shape-from-polarization is investigated for the purpose of correcting for refraction at the water-air interface when imaging from above the water. In shallow clear water and overcast conditions, spectral longpass filtering (using a hard-coated 850 nm cut-on wavelength filter) is demonstrated to 1) avoid artifacts from the ground in the measured polarization state, and 2) reduce polarization from water-leaving radiance sufficiently to derive shape information exclusively from the polarization produced by specular reflection. The dependence of the method on meteorological conditions is studied. Measurements are performed with a commercial polarization filter array (PFA) camera. Due to the decreasing PFA efficiency towards the near-infrared, rigorous characterization and calibration measurements were performed and recommendations (e.g., on the f-number) elaborated. Overcoming the paraxial approximation, normal vectors are then retrieved with systematic errors of 0.1<sup>∘</sup> (image center) to 0.5<sup>∘</sup>-0.8<sup>∘</sup> (edges/corners) for a flat water surface. An image of the sea floor corrected for surface refraction shows maximum displacements of 10-20 pixels only (corresponding to 0.25<sup>∘</sup>) with respect to a validation image without water.

Applied OpticsVol. 64(1)
University of the West of England (GB)
Deutsches Zentrum für Luft- und Raumfahrt
Life below water
Openalex Percentile: Top 32%
Underwater Acoustics Research
0.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.