Model-based neural network for target detection in SAR images

  • Authors:
  • L. I. Perlovsky;W. H. Schoendorf;B. J. Burdick;D. M. Tye

  • Affiliations:
  • Nichols Res. Corp., Lexington, MA;-;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 1997

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Abstract

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