Improving Log-Cumulant Based Estimation of Roughness Information in SAR imagery

Synthetic Aperture Radar (SAR) image understanding is crucial in remote sensing applications, but it is hindered by its intrinsic noise contamination, called speckle. Sophisticated statistical models, such as the \(\mathcal{G}^0\) family of distributions, have been employed to SAR data and many of t...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Jeova Farias Sales Rocha Neto, Francisco Alixandre Avila Rodrigues
Format:	Artikel
Sprache:	eng
Schlagworte:	Parameter estimation Radar imaging Remote sensing Roughness Statistical models Synthetic aperture radar
Online-Zugang:	Volltext
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