Regularization of noisy ISAR images containing extended features.
basic_science · Level V
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- Record sourced from PubMed, PMID 18262873.
- Also identified by DOI 10.1109/83.736704.
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Abstract
We present a regularization method that employs a cross-entropy functional and which deals with the three issues of complex-valued data, prior information, and noise mitigation. The basic model of this approach is similar to that used in usual maximum a posteriori analysis and allows for a more general relationship between the image and its configuration entropy than that usually employed.