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��of-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