title: Model-based neural network for target detection in SAR images.
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.
authors.affiliation: Nichols Res. Corp., Lexington, MA.
authors.forename: L I
authors.initials: LI
authors.lastname: Perlovsky
authors.forename: W H
authors.initials: WH
authors.lastname: Schoendorf
authors.forename: B J
authors.initials: BJ
authors.lastname: Burdick
authors.forename: D M
authors.initials: DM
authors.lastname: Tye