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Maximum Likelihood Estimation Method of g0 Distribution Parameters Based on em Algorithm

A technique of maximum likelihood estimation and distribution parameters, which is applied in the field of synthetic aperture radar image interpretation and can solve problems such as equations that cannot be solved directly

Inactive Publication Date: 2016-04-06
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

The EM algorithm is an iterative method to find the maximum likelihood estimation of the statistical model, and is often used when the equation of the maximum likelihood estimation cannot be solved directly

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  • Maximum Likelihood Estimation Method of g0 Distribution Parameters Based on em Algorithm
  • Maximum Likelihood Estimation Method of g0 Distribution Parameters Based on em Algorithm
  • Maximum Likelihood Estimation Method of g0 Distribution Parameters Based on em Algorithm

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Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with the drawings:

[0030] The present invention proposes a maximum likelihood estimation method for G0 distribution parameters based on EM algorithm. Because SAR image data has the characteristics of severe noise and complex background clutter, the SAR image interpretation work based on statistical models has attracted widespread attention. Frery et al. gave a new statistical distribution model G distribution, a special form of G distribution, G0 distribution, which has the advantages of wide application range and easy parameter estimation. Among them, parameter estimation is a core issue in the study of G0 distribution. Moment estimation method and parameter estimation method based on Mellin transform are currently commonly used parameter estimation methods. However, the maximum likelihood estimation as the statistically optimal parameter estimation method has not been applied due to the co...

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Abstract

The invention discloses a G0 distribution parameter maximum likelihood estimation method based on EM (Expectation-Maximization) algorithm, comprising the following steps: firstly using moment estimate algorithm to estimate G0 distribution parameter; then using parameter estimated value obtained by the moment estimate algorithm as an initial value; and estimating G0 distribution parameter in an iterative with the EM algorithm. The G0 distribution parameter maximum likelihood estimation method based on EM algorithm designed by the invention is relatively high in parameter estimated accuracy.

Description

Technical field [0001] The invention belongs to the field of synthetic aperture radar image interpretation, and relates to a method for estimating the maximum likelihood of G0 distribution parameters based on an EM algorithm. Background technique [0002] Because synthetic aperture radar (SAR) image data has the characteristics of serious noise and complex background clutter, the SAR image interpretation work based on statistical models has attracted widespread attention. The accuracy of the statistical model for describing the statistical characteristics of measured SAR image data will greatly affect the performance of SAR image interpretation. For this reason, scholars from various countries have developed many statistical models for describing SAR image data. Among them, the G0 distribution has the advantages of wide application range and strong modeling ability, and has been widely used in the interpretation of SAR images in recent years. [0003] The application of G0 distrib...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 周鑫吴腾飞王沛彭荣鲲王从庆江驹
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS