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Adaptive energy filtering method based on time-domain image sequences for high-accuracy spot target localization.

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    This study introduces an energy filtering method to enhance spot target localization accuracy in optical measurements. The technique improves centroiding precision, especially in low signal-to-noise ratio imaging, by filtering pixel energy from image sequences.

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    Area of Science:

    • Optical measurement techniques
    • Image processing
    • Astrophysics and biophysics instrumentation

    Background:

    • High-accuracy spot target localization is crucial for astronomy and biophysics.
    • Random noise in imaging limits centroiding accuracy, particularly at low signal-to-noise ratios (SNR).
    • Existing centroiding methods struggle to meet increasing accuracy demands.

    Purpose of the Study:

    • To propose a novel energy filtering method for improving spot target localization accuracy.
    • To address the limitations of current methods in low SNR conditions.
    • To enhance centroiding precision in optical measurement techniques.

    Main Methods:

    • An energy filtering method based on time-domain extended image sequences is proposed.
    • Pixel-level energy filtering is applied by analyzing energy variations in continuous image sequences.
    • Adaptive filter parameters are adjusted for varying energy distributions.
    • Simulations and laboratory experiments were conducted for validation.

    Main Results:

    • The proposed method effectively filters spot energy at the pixel level.
    • Adaptive filtering parameters enhance performance across different energy distributions.
    • Centroiding accuracy is significantly improved, especially in low SNR scenarios.
    • Validation through simulations and experiments confirms the method's effectiveness.

    Conclusions:

    • The energy filtering method offers a significant advancement in spot target localization.
    • It provides an effective and adaptive solution for improving centroiding accuracy.
    • The technique is particularly beneficial for low SNR imaging applications like star trackers.