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Model-based neural network for target detection in SAR images

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4 Author(s)
Perlovsky, L.I. ; Nichols Res. Corp., Lexington, MA, USA ; Schoendorf, W.H. ; Burdick, B.J. ; Tye, D.M.

A controversial issue in the research of mathematics of intelligence has been that of the roles of a priori knowledge versus adaptive learning. After discussing mathematical difficulties of combining a priority with adaptivity encountered in the past, we introduce a concept of a model-based neural network, whose adaptive learning is based on a priori models. Applications to target detection in SAR images are discussed. We briefly overview the SAR principles, derive relatively simple physics-based models of SAR signals, and describe model-based neural networks that utilize these models. A number of real-world application examples are presented

Published in:

Image Processing, IEEE Transactions on  (Volume:6 ,  Issue: 1 )