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chapter 1 overview for statistical modeling of sar images
1£®1 introduction
1£®2 model classification and research contents
1£®2£®1 parameter estimation
1£®2£®2 goodness¡ªof-fit tests
1£®3 statistical models
1£®3£®1 nonparametric models
1£®3£®2 parametric models
1£®4 classification of parametric models
1£®4£®1 the statistical models developed from the product model
1£®4£®2 the statistical models developed from the generalized centrallimit theorem
1£®4£®3 the empirical distributions
1£®4£®4 other models
1£®5 the relationship among the major models and theirapplications
1£®5£®1 the relationship among the parametric statisticalmodels
1£®5£®2 summary of the applications of the major models
1£®6 discussion of future work
1£®7 conclusions references
chapter 2 statistical modeling of single-channel sail iinages
2£®1 modeling sar images based on a generalized gamma distributionfor texture component
2£®1£®1 the proposed gffodel
2£®1£®2 parameter estimator of the gff model based on molc
2£®1£®3 experimentai results
2£®1£®4 appendix 2-a£®the derivation of m-th order moments of thedistribution
2£®1£®5 appendix 2-b£®proof of the relationship betweendistributions
2£®2 an empirical distribution for characterizing the statisticalproperties of sar clutter
2£®2£®1 the proposed distribution
2£®2£®2 the parameter estimators of the proposed distribution
2£®2£®3 experimental results
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chapter 4 statistical modeling of multi-channel sar images
chapter 5 target detwction multi-channel sar images
chapter 6 statistical modeling and target detwction of polsarimages