Shannon Entropy for the <inline-formula><tex-math notation="LaTeX">$\mathcal {G}^0_I$</tex-math></inline-formula> Model: A New Segmentation Approach

Shannon Entropy for the <inline-formula><tex-math notation="LaTeX">$\mathcal {G}^0_I$</tex-math></inline-formula> Model: A New Segmentation Approach

Synthetic aperture radar (SAR) has been successfully used as a remote sensing tool. However, SAR images are contaminated by speckle noise and require specialized postprocessing procedures; e.g, tailored segmenters. The G<sub>I</sub><sup>0</sup> distribution is a flexible mode...

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Bibliographic Details
Main Authors: Jodavid de A. Ferreira, Abraao D. C. Nascimento
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX">$\mathcal {G}^0_I$</tex-math> </inline-formula> distribution
clustering model
information theory (IT)
stochastic entropy
Online Access:https://ieeexplore.ieee.org/document/9103261/

Internet

https://ieeexplore.ieee.org/document/9103261/

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