2017
DOI: 10.1175/jtech-d-16-0162.1
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Improved Detection of the First-Order Region for Direction-Finding HF Radars Using Image Processing Techniques

Abstract: For direction-finding high-frequency (HF) radar systems, the correct separation of backscattered spectral energy due to Bragg resonant waves from that due to more complex double-scattering represents a critical first step toward attaining accurate estimates of surface currents from the range-dependent radar backscatter. Existing methods to identify this ''first order'' region of the spectra, generally sufficient for lower-frequency radars and low-velocity or low-surface gravity wave conditions, are more likely… Show more

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Cited by 13 publications
(7 citation statements)
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References 21 publications
(27 reference statements)
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“…We currently use the SeaSonde software to delineate the first order region of the spectra. Alternative methods (Kirincich, 2017;Rodriguez-Alegre, 2022) utilize image processing techniques and machine learning to draw this boundary and we are evaluating the impact of this new methodology. If a more efficient methodology for extracting the first order Bragg region becomes available, radial maps can be reprocessed using spectra which are archived at each operator's institution.…”
Section: Level 1spectramentioning
confidence: 99%
“…We currently use the SeaSonde software to delineate the first order region of the spectra. Alternative methods (Kirincich, 2017;Rodriguez-Alegre, 2022) utilize image processing techniques and machine learning to draw this boundary and we are evaluating the impact of this new methodology. If a more efficient methodology for extracting the first order Bragg region becomes available, radial maps can be reprocessed using spectra which are archived at each operator's institution.…”
Section: Level 1spectramentioning
confidence: 99%
“…These considerations apply especially for DF systems, where the power spectra contain the contributions from all the azimuthal directions. In some cases the application of advanced methods for FOLs detection can improve the quality of the data (Kirincich, 2017).…”
Section: First Order Limits Detectionmentioning
confidence: 99%
“…However, the process of optimizing the values of the six user-defined parameters is complicated, because some parameters have only a minor effect (i.e., nsm) and others (noisefact, flim) have overlapping effects [16]. Recently, to reduce the complexity of FOPs determination for broad-beam DF HFR, Kirincich [16] proposed an image-processing-based (IPB) FOPs determination method, which needs three userdefined parameters. Therefore, this IPB method reduces input parameters and simplifies the parameter tuning process.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, this IPB method reduces input parameters and simplifies the parameter tuning process. To assess the performance of this IPB method, Kirincich [16] compared this IPB method with the SeaSonde method by visually inspecting the FOPs determination results and evaluating the accuracy of radar-derived radial velocities. The radial velocities evaluation is convincing, whereas the visual inspection is not objective enough as well as time and labor consuming.…”
Section: Introductionmentioning
confidence: 99%
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