Improved SAR Imaging via Cross-Learning From Camera Images

Gishkori Shahzad; Wright David; Daniel Liam; Gashinova Marina; Mulgrew Bernard

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Improved SAR Imaging via Cross-Learning From Camera Images

机译：通过从相机图像的交叉学习改进SAR成像

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摘要

In this article, we propose a novel concept of cross-learning in order to improve synthetic aperture radar (SAR) images by learning from the camera images, in the manifold domain. We present multilevel abstraction approaches to materialize knowledge transfer between these two very different modalities (i.e., the radar and the camera), namely, a canonical correlation analysis-based approach and a manifold alignment-based approach. We provide experimental results on real data, along with qualitative as well as quantitative analyses, to validate the proposed methodologies.

机译：在本文中，我们提出了一种新颖的交叉学习概念，以便通过在歧管域中从相机图像学习来改善合成孔径雷达（SAR）图像。我们提出了多级抽象方法，以实现这两个非常不同的方式（即雷达和相机）之间的知识转移，即基于规范相关分析的方法和基于歧管对准的方法。我们在真实数据中提供实验结果，以及定性以及定量分析，以验证所提出的方法。

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来源
《IEEE Transactions on Aerospace and Electronic Systems》 |2021年第4期|2587-2596|共10页
作者
Gishkori Shahzad; Wright David; Daniel Liam; Gashinova Marina; Mulgrew Bernard;
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作者单位

Univ Edinburgh Sch Engn Inst Digital Commun IDCOM Birmingham EH8 9YL W Midlands England;

Univ Edinburgh Sch Engn Inst Digital Commun IDCOM Birmingham EH8 9YL W Midlands England;

Univ Birmingham Microwave Integrated Syst Lab MISL Sch Elect Elect & Syst Engn Birmingham EH8 9YL W Midlands England;

Univ Birmingham Microwave Integrated Syst Lab MISL Sch Elect Elect & Syst Engn Birmingham EH8 9YL W Midlands England;

Univ Edinburgh Sch Engn Inst Digital Commun IDCOM Birmingham EH8 9YL W Midlands England;

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正文语种 eng
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关键词
Cameras; Synthetic aperture radar; Manifolds; Radar imaging; Radar polarimetry; Apertures; Image reconstruction; Cross-learning; manifold learning; multimodal fusion; synthetic aperture radar (SAR) imaging;

机译：摄像机;合成孔径雷达;歧管;雷达成像;雷达偏振物;孔径;图像重建;跨学习;多方形融合;综合融合;合成孔径雷达（SAR）成像;

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1. Object Detection Research of SAR Image Using Improved Faster Region-Based Convolutional Neural Network [J] . Long SUN, Tao WU, Guangcai SUN, 测绘学报(英文版) . 2020,第003期
2. Object Detection Research of SAR Image Using Improved Faster Region-Based Convolutional Neural Network [J] . Long SUN, Tao WU, Guangcai SUN, 测绘学报（英文） . 2020,第003期
3. Improved Ship Target Detection Accuracy in SAR Image Based on Modified CFAR Algorithm [J] . Yong Wang, Tianjiao Guo 哈尔滨工业大学学报（英文版） . 2018,第002期
4. An Improved SAR Image Denoising Metho d Based on Bo otstrap Statistical Estimation with ICA Basis [J] . JI Jian, LI Yang 电子学报（英文版） . 2016,第004期
5. Image denoising and despeckling methods for SAR images to improve image enhancement performance: a survey [J] . Ponmani E., Saravanan P. Multimedia Tools and Applications . 2021,第17期

机译：SAR图像的图像去噪与检测方法，提高图像增强性能：调查
6. Median modified wiener filter for improving the image quality of gamma camera images [J] . Chan Rok Park, Seong-Hyeon Kang, Youngjin Lee Nuclear engineering and technology . 2020,第10期

机译：中位修改的维纳滤波器，用于提高伽玛相机图像的图像质量
7. Improved imaging performance of a semiconductor Compton camera GREI makes for a new methodology to integrate bio-metal analysis and molecular imaging technology in living organisms [J] . Shinji Motomura, Yousuke Kanayama, Makoto Hiromura, Journal of Analytical Atomic Spectrometry . 2013,第6期

机译：半导体康普顿相机GREI的改进的成像性能为将生物金属分析和分子成像技术整合到生物体内的新方法提供了条件
8. SIMILARITY MEASURES OF FULL POLARIMETRIC SAR IMAGES FUSION FOR IMPROVED SAR IMAGE MATCHING [C] . H. Ding International Workshop on Image and Data Fusion . 2015

机译：完整偏振SAR图像融合的相似性测量改进的SAR图像匹配
9. Inversion of synthetic aperture radar (SAR) data using Born approximation and SAR image enhancement for geological application [D] . Won, Joong Sun 1993

机译：利用Born近似和SAR图像增强反演合成孔径雷达（SAR）数据在地质上的应用
10. Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2 [O] . Michael A. Tabak, Mohammad S. Norouzzadeh, David W. Wolfson, 2020

机译：提高机器学习算法的可访问性和可转移性以便识别相机陷阱图像的识别图像：MLWIC2
11. Similarity measures of full polarimetric SAR images fusion for improved SAR image matching [O] . H. Ding 2015

机译：全极化saR图像融合相似度量的改进saR图像匹配
12. Mechano-Optical Camera with a Recording Speed of Ten Million Images Per Second (Camera Mecano-Optique a Dix Millions d'Images par Seconde). [R] . Baluteau, J. M., Bouheret, B., Tenaud, J. P. 1977

机译：机械光学相机，每秒记录速度为1000万像素（相机mecano-Optique，Dix millions d'Images，seconde）。

Improved SAR Imaging via Cross-Learning From Camera Images

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