Fast estimation of multilook K-distribution parameters via the least-squares nonlinear curve-fitting

In this paper the author propose a fast and efficient algorithm for multilook K-distribution parameter estimation. It is base on the approximate inverse function of log(ν) − ψ(ν), which is calculated by the least squares nonlinear curve fitting technique. Numerical experiments demonstrate the efficiency and accuracy of this new algorithm.

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