Target recognition in synthetic aperture radar images via matching of attributed scattering centers

B Ding, G Wen, X Huang, C Ma… - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
This paper presents an approach for attributed scattering center (ASC) matching with
application to synthetic aperture radar (SAR) automatic target recognition (ATR). A statistics …

Robust method for the matching of attributed scattering centers with application to synthetic aperture radar automatic target recognition

B Ding, G Wen, J Zhong, C Ma… - Journal of Applied …, 2016 - spiedigitallibrary.org
This paper proposes a robust method for the matching of attributed scattering centers
(ASCs) with application to synthetic aperture radar automatic target recognition (ATR). For …

A robust similarity measure for attributed scattering center sets with application to SAR ATR

B Ding, G Wen, J Zhong, C Ma, X Yang - Neurocomputing, 2017 - Elsevier
This paper proposes a robust similarity measure for two attributed scattering center (ASC)
sets and applies it to synthetic aperture radar (SAR) automatic target recognition (ATR). The …

Data augmentation by multilevel reconstruction using attributed scattering center for SAR target recognition

B Ding, G Wen, X Huang, C Ma… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
The quality of synthetic aperture radar (SAR) images and the completeness of the template
database are two important factors in template-based SAR automatic target recognition. This …

Target reconstruction based on 3-D scattering center model for robust SAR ATR

B Ding, G Wen - IEEE Transactions on Geoscience and Remote …, 2018 - ieeexplore.ieee.org
This paper proposes a robust synthetic aperture radar (SAR) automatic target recognition
method based on the 3-D scattering center model. The 3-D scattering center model is …

SAR automatic target recognition based on attribute scattering center model and discriminative dictionary learning

T Li, L Du - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) automatic target recognition plays a crucial role in both
national defense and civil applications. Although many methods have been proposed, it …

FEC: A feature fusion framework for SAR target recognition based on electromagnetic scattering features and deep CNN features

J Zhang, M Xing, Y Xie - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
The active recognition of interesting targets has been a vital issue for synthetic aperture
radar (SAR) systems. The SAR recognition methods are mainly grouped as follows …

Convolutional neural networks based on augmented training samples for synthetic aperture radar target recognition

Y Yan - Journal of Electronic Imaging, 2018 - spiedigitallibrary.org
A synthetic aperture radar (SAR) automatic target recognition (ATR) method based on the
convolutional neural networks (CNN) trained by augmented training samples is proposed …

Target recognition in synthetic aperture radar images using binary morphological operations

B Ding, G Wen, C Ma, X Yang - Journal of Applied Remote …, 2016 - spiedigitallibrary.org
Feature extraction and matching are two important steps in synthetic aperture radar
automatic target recognition. This paper uses the binary target region as the feature and …

An efficient and robust framework for SAR target recognition by hierarchically fusing global and local features

B Ding, G Wen, C Ma, X Yang - IEEE Transactions on Image …, 2018 - ieeexplore.ieee.org
Automatic target recognition (ATR) of synthetic aperture radar (SAR) images is performed on
either global or local features. The global features can be extracted and classified with high …