A Review on Parametric and Semiparametric Distributions in Characterizing Synthetic Aperture Radar Clutter Data

Clutter modeling is used in diverse Synthetic Aperture Radar (SAR) image processing fields, e.g., speckle suppression, detection, classification, and recognition. Therefore, accurate formulation of SAR clutter models is crucial to achieve effective performance in such applications. We present a surv...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.83340-83362
Hauptverfasser:	Mahapatra, Dheeren Ku, Frery, Alejandro C., Pradhan, Bibhuti Bhusan, Roy, Lakshi Prosad
Format:	Artikel
Sprache:	eng
Schlagworte:	Clutter Coefficient of variation computational complexity Computational modeling Data models Effectiveness Goodness of fit Heterogeneity Homogeneity Image processing KL divergence KS distance k₃ ~ k₂ diagram method of log-cumulants (MoLC) parametric model Radar cross-sections Radar imaging Radar polarimetry SAR clutter Speckle Synthetic aperture radar
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