Stochastic Contrast Measures for SAR Data: A Survey

null doi: 10.12000/JR19108
 Citation: null doi: 10.12000/JR19108

## Stochastic Contrast Measures for SAR Data: A Survey

##### doi: 10.12000/JR19108
Funds: This work was partially founded by CNPq (Brazilian National Council for Scientific and Technological Development) and Fapeal (the State Science Foundation-Alagoas State, Brazil)
###### Corresponding author:Laboratório de Computação Científica e Análise Numérica – LaCCAN, Universidade Federal de Alagoas – Ufal, 57072-900 Maceió, AL – Brazil, and the Key Lab of Intelligent Perception and Image Understanding of the Ministry of Education, Xidian University, Xi’an, China. Email: acfrery@laccan.ufal.br
• Figure  1.  Mind map of this review contents

Figure  2.  Exponential densities with mean 1/2, 1, and 2 (red, black and blue, resp.) in linear and semilogarithmic scales

Figure  3.  Unitary mean Gamma densities with 1, 3, and 8 looks (black, red, and blue, resp.) in linear and semilogarithmic scales

Figure  4.  Densities in linear and semi-logarithmic scale of the ${\rm E}(1)$ (black) and ${{\cal{G}}^0}$ distributions with unitary mean and $\alpha\in\{-1.5,-3.0,-8.0\}$ in red, green, and blue, resp

Figure  5.  Densities in linear and semilogarithmic scale ${\cal{G}}^0(-5,4,L)$ distributions with unitary mean and $L\in\{1,3,8\}$ in red, green, and blue, resp

Figure  6.  Equalized intensity data with grid

Figure  7.  Regression analysis for the estimation of the equivalent number of looks

Figure  8.  Strips of 10 × 500 pixels with samples from two ${\cal{G}}^0$ distributions

Figure  9.  Illustration of edge detection by maximum likelihood

Figure  10.  Illustration of parameter estimation by distance minimization

Figure  11.  Illustration of the Nonlocal Means approach

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##### 出版历程
• 收稿日期:  2019-12-05
• 修回日期:  2019-12-20
• 刊出日期:  2019-12-01

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