Ground Moving Target Detection Using Beam-Doppler Image Feature Recognition

Zhe Geng; Hai Deng; Braham Himed

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Ground Moving Target Detection Using Beam-Doppler Image Feature Recognition

机译：利用波束多普勒图像特征识别的地面运动目标检测

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摘要

An innovative moving target detection approach termed as Beam-Doppler Image Feature Recognition (BDIFR) is introduced based on the distinction between moving target and ground clutter features in the beam-Doppler domain. A novel minimum-distance-based region-growing method is developed for radar target feature extraction and detection. The proposed BDIFR algorithm is advantageous over conventional space-time adaptive processing in detecting ground moving targets in inhomogeneous clutter environments since it does not require secondary training data for clutter estimation.

机译：基于波束多普勒域中的移动目标和地面杂波特征之间的区别，提出了一种创新的移动目标检测方法，称为波束多普勒图像特征识别（BDIFR）。针对雷达目标特征提取和检测，提出了一种基于最小距离的区域增长方法。提出的BDIFR算法在不均匀杂波环境中检测地面运动目标方面优于常规的时空自适应处理，因为它不需要用于杂波估计的辅助训练数据。

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来源
《Aerospace and Electronic Systems, IEEE Transactions on》 |2018年第5期|2329-2341|共13页
作者
Zhe Geng; Hai Deng; Braham Himed;
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作者单位

Florida International University, Miami, FL, USA;

Florida International University, Miami, FL, USA;

Wright-Patterson AFB, OH, USA;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Clutter; Doppler radar; Doppler effect; Radar clutter; Radar antennas; Airborne radar;

机译：杂波;多普勒雷达;多普勒效应;雷达杂波;雷达天线;机载雷达;

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专利

1. Image feature-based space-time processing for ground moving target detection [J] . Hai Deng, Himed B., Wicks M.C. IEEE signal processing letters . 2006,第4期

机译：基于图像特征的时空处理，用于地面运动目标检测
2. High Range Resolution Profiles as Motion-Invariant Features for Moving Ground Targets Identification in SAR-Based Automatic Target Recognition [J] . Wong S. K. Aerospace and Electronic Systems, IEEE Transactions on . 2009,第3期

机译：基于SAR的自动目标识别中的高分辨分辨率轮廓作为运动不变特征，用于运动地面目标识别
3. Ground moving target detection and location based on SAR images for distributed spaceborne SAR [J] . LI Zhenfang, BAO Zheng, YANG Fengfeng Science in China. Series F, Information Sciences . 2005,第5期

机译：基于SAR图像的分布式星载SAR地面运动目标检测与定位
4. Beam-Doppler image feature recognition (BDIFR) method for radar clutter management and target detection [C] . Zhe Geng, Hai Deng IEEE International Symposium on Antennas and Propagation . 2016

机译：波束多普勒图像特征识别（BDIFR）方法用于雷达杂波管理和目标检测
5. Ground moving target detection and feature extraction with airborne phased array radar. [D] . Jiang, Nanzhi. 2001

机译：机载相控阵雷达的地面运动目标检测和特征提取。
6. Moment Feature Based Fast Feature Extraction Algorithm for Moving Object Detection Using Aerial Images [O] . A. F. M. Saifuddin Saif, Anton Satria Prabuwono, Zainal Rasyid Mahayuddin -1

机译：基于矩特征的航空图像运动目标检测快速特征提取算法
7. A Moving IR Point Target Detection Algorithm Based on Reverse Phase Feature of Neighborhood in Difference Between Neighbor Frame Images [O] . ZHU Feng-yun, QIN Shi-yin 2006

机译：基于邻帧反相差的邻域反相特征的运动红外点目标检测算法
8. Effects of Extended Camera Baseline and Image Magnification on Target Detection Time and Target Recognition with a Stereoscopic TV System [R] . Spain, E. H. 1986

机译：基于立体电视系统的扩展摄像机基线和图像放大对目标探测时间和目标识别的影响

Ground Moving Target Detection Using Beam-Doppler Image Feature Recognition

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