[HTML][HTML] Electromagnetic scattering characteristic extraction and imaging recognition algorithm: A review

X Mengdao, XIE Yiyuan, GAO Yuexin, Z Jinsong… - 雷达学报, 2022 - radars.ac.cn
One remarkable trend in applying synthetic aperture radar technology is the automatic
interpretation of Synthetic Aperture Radar (SAR) images. The electromagnetic scattering …

[HTML][HTML] 电磁散射特征提取与成像识别算法综述

邢孟道, 谢意远, 高悦欣, 张金松, 刘嘉铭, 吴之鑫 - 雷达学报, 2022 - radars.ac.cn
合成孔径雷达(SAR) 图像的自动化解译是合成孔径雷达技术应用的重要发展方向之一.
电磁散射特征与目标结构具有稳健的关联性, 是SAR 图像解译的关键支撑. 近年来 …

Deep Parametric Imaging for Bistatic SAR: Model, Property and Approach

Y Song, W Pu, J Huo, J Wu, Z Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Bistatic synthetic aperture radar (BiSAR) parametric imaging can reconstruct the structural
information of the target, which is one of the research hotspots for BiSAR imaging. However …

Forward modeling of scattering centers from coated target on rough ground for remote sensing target recognition applications

S He, M Hua, Y Zhang, X Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents a forward modeling method for the scattering center (SC) model of
coated targets on rough ground, tailored for remote sensing and target recognition …

A Lightweight Theory-Driven Network and Its Validation on Public Fully-Polarized Ship Detection Dataset

Z Yang, P Zhang, N Wang, T Liu - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
The utilization of polarimetric synthetic aperture radar (PolSAR) enables the preservation of
more comprehensive target scattering characteristics compared to conventional SAR …

A primitive scatterer dictionary for semantic representation of radar target images

X Zhang, F Xu, Y Yang, M Xing… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
High-resolution radar images convey rich information about targets and their geometric
characteristics. It remains a challenge to extract the semantic information of target geometry …

[HTML][HTML] Forward Modeling of Robust Scattering Centers from Dynamic Ships on Time-Varying Sea Surfaces for Remote Sensing Target-Recognition Applications

R Chen, M Hua, S He - Remote Sensing, 2024 - mdpi.com
This paper presents a forward modeling method for the scattering center (SC) model of
dynamic ships on time-varying sea surfaces, tailored for remote sensing and target …

A Reinforcement Learning Framework for Scattering Feature Extraction and SAR Image Interpretation

J Chen, X Zhang, H Wang, F Xu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid development and widespread deployment of radar technology, the
interpretation of the vast amount of synthetic aperture radar (SAR) imagery obtained daily …

[PDF][PDF] 基于物理启发机器学习的属性散射中心提取方法

岳子瑜, 徐丰 - 电子与信息学报, 2024 - jeit.ac.cn
基于参数化散射中心模型进行参数估计是实现合成孔径雷达高级信息获取(SAR AIR)
技术的基本思路之一, 传统的属性散射中心(ASC) 参数估计算法往往具有计算速度慢 …

Extraction of Attributed Scattering Center Based on Physics Informed Machine Learning

Z YUE, F XU - 电子与信息学报, 2024 - jeit.ac.cn
To estimate parameters of parameterized scattering center models is one of the basic
methods for Synthetic Aperture Radar Advanced Information Retrieval (SAR AIR) …