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Regularization of noisy ISAR images containing extended features

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1 Author(s)
B. Borden ; Res. & Technol. Group, Naval Air Warfare Centre Weapons Div., China Lake, CA, USA

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

Published in:

IEEE Transactions on Image Processing  (Volume:8 ,  Issue: 1 )