The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article présente un algorithme d'imagerie grand angle basé sur un modèle de diffusion dynamique pour radar à synthèse inverse (ISAR). De cette façon, plus d’informations peuvent être présentées dans une image ISAR qu’une image RD ordinaire. Le modèle proposé décrit les caractéristiques de diffusion de la cible ISAR variant selon différents angles d'observation. Sur la base de ce modèle, les points caractéristiques de chaque sous-image des cibles ISAR sont extraits et mis en correspondance à l'aide des algorithmes de transformation de caractéristiques invariante d'échelle (SIFT) et de consensus d'échantillons aléatoires (RANSAC). Grâce à ces points caractéristiques, des angles de rotation de haute précision sont obtenus via une estimation conjointe, ce qui permet d'obtenir une imagerie grand angle à l'aide de l'algorithme de rétroprojection. Les résultats de la simulation vérifient la validité de la méthode proposée.
Ping LI
Xidian University
Feng ZHOU
Xidian University
Bo ZHAO
Shenzhen University
Maliang LIU
Xidian University
Huaxi GU
Xidian University
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Ping LI, Feng ZHOU, Bo ZHAO, Maliang LIU, Huaxi GU, "A Novel Large-Angle ISAR Imaging Algorithm Based on Dynamic Scattering Model" in IEICE TRANSACTIONS on Electronics,
vol. E103-C, no. 10, pp. 524-532, October 2020, doi: 10.1587/transele.2019ECP5050.
Abstract: This paper presents a large-angle imaging algorithm based on a dynamic scattering model for inverse synthetic aperture radar (ISAR). In this way, more information can be presented in an ISAR image than an ordinary RD image. The proposed model describes the scattering characteristics of ISAR target varying with different observation angles. Based on this model, feature points in each sub-image of the ISAR targets are extracted and matched using the scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) algorithms. Using these feature points, high-precision rotation angles are obtained via joint estimation, which makes it possible to achieve a large angle imaging using the back-projection algorithm. Simulation results verifies the validity of the proposed method.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.2019ECP5050/_p
Copier
@ARTICLE{e103-c_10_524,
author={Ping LI, Feng ZHOU, Bo ZHAO, Maliang LIU, Huaxi GU, },
journal={IEICE TRANSACTIONS on Electronics},
title={A Novel Large-Angle ISAR Imaging Algorithm Based on Dynamic Scattering Model},
year={2020},
volume={E103-C},
number={10},
pages={524-532},
abstract={This paper presents a large-angle imaging algorithm based on a dynamic scattering model for inverse synthetic aperture radar (ISAR). In this way, more information can be presented in an ISAR image than an ordinary RD image. The proposed model describes the scattering characteristics of ISAR target varying with different observation angles. Based on this model, feature points in each sub-image of the ISAR targets are extracted and matched using the scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) algorithms. Using these feature points, high-precision rotation angles are obtained via joint estimation, which makes it possible to achieve a large angle imaging using the back-projection algorithm. Simulation results verifies the validity of the proposed method.},
keywords={},
doi={10.1587/transele.2019ECP5050},
ISSN={1745-1353},
month={October},}
Copier
TY - JOUR
TI - A Novel Large-Angle ISAR Imaging Algorithm Based on Dynamic Scattering Model
T2 - IEICE TRANSACTIONS on Electronics
SP - 524
EP - 532
AU - Ping LI
AU - Feng ZHOU
AU - Bo ZHAO
AU - Maliang LIU
AU - Huaxi GU
PY - 2020
DO - 10.1587/transele.2019ECP5050
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E103-C
IS - 10
JA - IEICE TRANSACTIONS on Electronics
Y1 - October 2020
AB - This paper presents a large-angle imaging algorithm based on a dynamic scattering model for inverse synthetic aperture radar (ISAR). In this way, more information can be presented in an ISAR image than an ordinary RD image. The proposed model describes the scattering characteristics of ISAR target varying with different observation angles. Based on this model, feature points in each sub-image of the ISAR targets are extracted and matched using the scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) algorithms. Using these feature points, high-precision rotation angles are obtained via joint estimation, which makes it possible to achieve a large angle imaging using the back-projection algorithm. Simulation results verifies the validity of the proposed method.
ER -