Enhanced Radar Cross Section Modeling for Ocean Surface Characterization Beyond Traditional Assumptions

The scattering of electromagnetic (EM) radiation from ocean surfaces has been extensively studied, particularly in high-frequency (HF) radar applications. Traditional methods, such as perturbation techniques, are constrained by assumptions of small roughness scales and slopes, limiting their effectiveness during extreme wave events. By utilizing generalized functions and incorporating a vertical-pulsed dipole source, we derived an operator equation governing the electric field across the ocean surface, enhancing the interpretation of remote sensing data during extreme wave conditions. This paper introduces a novel expression for the first-order radar cross-section (RCS) of ocean surfaces with arbitrary slope and height. The validity of this expression was tested using data collected from Argentia, NL, Canada, demonstrating its effectiveness. Cross-validation with simultaneous buoy measurements showed promising results, indicating the method's potential for accurate ocean wave spectrum extraction.

Authors

Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/oceans55160.2024.10754085
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Enhanced Radar Cross Section Modeling for Ocean Surface Characterization Beyond Traditional Assumptions

Reza Shahidi, Eric W. Gill, Masoud Torabi
Ocean Waves and Remote Sensing
article

Enhanced Radar Cross Section Modeling for Ocean Surface Characterization Beyond Traditional Assumptions

Reza Shahidi, Eric W. Gill, Masoud Torabi
article en

Abstract

The scattering of electromagnetic (EM) radiation from ocean surfaces has been extensively studied, particularly in high-frequency (HF) radar applications. Traditional methods, such as perturbation techniques, are constrained by assumptions of small roughness scales and slopes, limiting their effectiveness during extreme wave events. By utilizing generalized functions and incorporating a vertical-pulsed dipole source, we derived an operator equation governing the electric field across the ocean surface, enhancing the interpretation of remote sensing data during extreme wave conditions. This paper introduces a novel expression for the first-order radar cross-section (RCS) of ocean surfaces with arbitrary slope and height. The validity of this expression was tested using data collected from Argentia, NL, Canada, demonstrating its effectiveness. Cross-validation with simultaneous buoy measurements showed promising results, indicating the method's potential for accurate ocean wave spectrum extraction.

Natural Sciences and Engineering Research Council of Canada
Life below water
Openalex Percentile: Top 78%
Ocean Waves and Remote Sensing
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.

Enhanced Radar Cross Section Modeling for Ocean Surface Characterization Beyond Traditional Assumptions — Reza Shahidi, Eric W. Gill, et al. · (2024) | TGRS Research Map | TGRS