Feature discovery via neural networks for object recognition in SAR imagery.

摘要

A two-stage self-organizing neural network architecture has been applied to object recognition in Synthetic Aperture Radar imagery. The first stage performs feature extraction and implements a two-layer Neocognitron. The resulting feature vectors are pres ...