Aircrafts recognition using convolutional neurons network

We will present in this paper, a novel approach to achieve the aircraft target recognition task using deep learning (DL) approach based on Inverse Synthetic Aperture Radar (ISAR) images reconstructed using IFFT Inverse Fast Furrier Transform). We will propose mainly in this work the deep learning algorithms based on convolutional neural network (CNN) architecture. In the second step and in order to optimize the convolution of DL steps, we propose to use a convolutional auto-encoder which may be better suited to image processing. To validate our approach, some experimentation results are given and compared. The obtained results show that the proposed approach of DL improves the high accuracy recognition and is efficient to well-known classifiers.