Abstract. It is very common to apply convolutional neural networks (CNNs) to synthetic aperture radar (SAR) automatic target recognition (ATR). However, ...

Abstract: It is very common to apply convolutional neural networks (CNNs) to synthetic aperture radar (SAR) automatic target recognition (ATR).

The proposed synthetic aperture radar ATR method via hierarchical fusion of two classification schemes, i.e., convolutional neural networks (CNN) and ...

from publication: A Convolutional Neural Network Combined with Attributed Scattering Centers for SAR ATR | It is very common to apply convolutional neural ...

This paper proposes a synthetic aperture radar (SAR) automatic target recognition (ATR) method via hierarchical fusion of two classification schemes, i.e., ...

A combination of a convolutional neural network, which belongs to the deep learning research field, and support vector machines is presented as an efficient ...

A novel data augmentation algorithm is proposed via target reconstruction based on attributed scattering centers (ASC) which reflects the electromagnetic ...

Sep 21, 2022 · To conquer these problems, we propose an electromagnetic scattering feature (ESF) module embedded network based on attributed scattering center ...

Sep 10, 2018 · A target recognition method of synthetic aperture radar (SAR) images is proposed via matching attributed scattering centers (ASCs) to binary ...

A target recognition method of synthetic aperture radar (SAR) image is developed based on deep features learned from convolutional neural networks (CNN).