In this paper, generalized forms of amplitude and intensity K-distributions are proposed to model multilook synthetic aperture radar (SAR) data. The approach is based upon a product model in which the amplitude and intensity distributions of the SAR backscatter component are assumed to be Laguerre orthogonal expansions of the traditional clutter distribution. The SAR intensity and amplitude probability density functions (pdfs) are derived and turn out to be the weighted combination of a series of K-distributions. Several theoretical and implementation issues regarding the proposed generalization are discussed. Comparative experimental results using real SAR data indicates that these generalized forms of K may allow better estimation of the SAR pdf than that of the traditional K distribution.
SAR probability density function estimation using a generalized form of K-distribution
IEEE Transactions on Aerospace and Electronic Systems ; 51 , 2 ; 1136-1146
2015-04-01
1263470 byte
Article (Journal)
Electronic Resource
English
Closed-Form Expression for the Poisson-Binomial Probability Density Function
Online Contents | 2010
|Hyperlang probability distribution -- Generalized traffic headway model
Engineering Index Backfile | 1968
|Parameter Estimation for Weibull Probability Distribution Function of Initial Fatigue Quality
Online Contents | 1995
|