High-quality HRR ATR system using an improved neural recognition chain

One of the most recent technique to design an efficient ATR system is to use high-resolution radar (HRR) imagery as input information flow. To increase the quality of such system, an interesting approach is to use powerful artificial neural networks inside of its recognition chain. Consequently, an improved neural recognition function based on modified feature extraction and selection methods and respectively, on genetic optimized RBF network architecture is described. Finally, to confirm the broached theoretical aspects, a real HRR image database was also used.