Inverse Profiling via an Effective Linearized Scattering Model and MRF Regularization
Geoscience and Remote Sensing Letters, IEEE(2011)
摘要
The aim of this letter is to show how a joint adoption of a suitable regularization scheme and a proper rewriting of the traditional electromagnetic scattering equation allows introducing an interesting linear inversion tool which allows achieving nice reconstructions in many cases of practical interest. In particular, an innovative inversion approach which takes definite advantage from the joint use of the Contrast Source-Extended Born model and a Markov-random-field-based regularization scheme is proposed. Numerical examples, confirming accuracy usefulness, are reported and discussed.
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关键词
Markov processes,electromagnetic wave scattering,microwave imaging,microwave propagation,random processes,MRF regularization,Markov random field based regularization,contrast source-extended Born model,effective linearized scattering model,electromagnetic scattering equation,inverse profiling,linear inversion tool,Contrast Source-Extended Born (CS-EB),Markov random fields (MRFs),inverse scattering,linear inversion
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