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Comparison of SeaWinds Backscatter Imaging Algorithms.

David G Long

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    |August 23, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study compares backscatter imaging algorithms for the SeaWinds scatterometer using multiple passes. High-resolution reconstruction using scatterometer image reconstruction (SIR) shows effectiveness but also limitations compared to conventional gridding methods.

    Keywords:
    QuikSCATRapidScatSeaWindsbackscatterreconstructionsamplingscatterometervariable aperture

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    Area of Science:

    • Remote Sensing
    • Geophysics
    • Data Science

    Background:

    • SeaWinds scatterometer data analysis often relies on gridding algorithms.
    • Multiple passes over a target offer opportunities for enhanced image reconstruction.
    • Conventional methods may not fully utilize available data for high-resolution imaging.

    Purpose of the Study:

    • Compare performance and tradeoffs of backscatter imaging algorithms for SeaWinds.
    • Evaluate reconstruction methods against conventional gridding.
    • Assess high-spatial-resolution imaging algorithms like fine-resolution DIB and SIR.

    Main Methods:

    • Comparison of conventional 'drop in the bucket' (DIB) gridding with high-spatial-resolution algorithms (fDIB, SIR).
    • Exploration of algorithm options including linear and dB computation.
    • Analysis of sampling density and reconstruction quality over time using simulated and actual data.

    Main Results:

    • Scatterometer image reconstruction (SIR) demonstrates effectiveness for high-resolution backscatter images.
    • Limitations of SIR, DIB, and fDIB are identified.
    • Tradeoffs between reconstruction quality, sampling density, and time are explored.

    Conclusions:

    • SIR offers enhanced resolution capabilities for SeaWinds data.
    • Understanding algorithm limitations is crucial for optimal data interpretation.
    • Further research may refine these algorithms for improved backscatter imaging.