TerraSAR-X数据沿轨干涉运动目标检测研究

doi:10.13209/j.0479-8023.2019.112

北京大学学报自然科学版 ›› 2020, Vol. 56 ›› Issue (1): 164-172.DOI: 10.13209/j.0479-8023.2019.112

TerraSAR-X数据沿轨干涉运动目标检测研究

焦健, 田崇瑞, 黄江辉, 曾琪明^†

北京大学遥感与地理信息系统研究所, 北京大学地球与空间科学学院, 北京 100871

收稿日期:2019-02-28 修回日期:2019-04-26 出版日期:2020-01-20 发布日期:2020-01-20
通讯作者: 曾琪明, E-mail: qmzeng(at)pku.edu.cn
基金资助:
国家自然科学基金(41571337)资助

Research on Moving Target Indication Based on Along Track Interferometry of TerraSAR-X Data

JIAO Jian, TIAN Chongrui, HUANG Jianghui, ZENG Qiming^†

Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871

Received:2019-02-28 Revised:2019-04-26 Online:2020-01-20 Published:2020-01-20
Contact: ZENG Qiming, E-mail: qmzeng(at)pku.edu.cn

摘要/Abstract

摘要：

为检验TerraSAR-X数据在地面运动目标检测(GMTI)应用中的潜力, 并验证基于SAR沿轨干涉图的幅度和相位联合统计特性以及恒虚警率的检测方法(ATI-CFAR)对TerraSAR-X数据的适用性, 利用TerraSAR-X卫星单发双收模式数据, 基于一种ATI-CFAR方法, 结合数据特点进行改进, 对北京北五环部分路段开展GMTI实验研究。结合地面同步实验进行验证分析, 结果表明: 1) TerraSAR-X数据能够应用于GMTI, 但干涉相位受干扰严重, 使用统计的方法确定ATI相位阈值易发生过度估计, 导致大量漏检; 2) 基于车速先验知识确定相位阈值, 利用图解法确定ATI幅度阈值, 能够有效地改善检测结果。本文方法检出率和正确率分别达到70%和87.5%, 证明了其对TerraSAR-X数据的适用性, 反映出 TerraSAR-X数据在GMTI应用中的潜力。

关键词: 地面运动目标检测(GMTI), 合成孔径雷达(SAR), 沿轨干涉(ATI), 恒虚警率(CFAR), TerraSAR-X

Abstract:

The method to combine along track interferometry (ATI) and constant false alarm rate (CFAR) detection, referred to as ATI-CFAR, is considered to be a promising method for ground moving target indication (GMTI). In order to evaluate the ability of the method used for GMTI with TerraSAR-X data, a set of experimental schemes are presented, which include a synchronous in-situ experiment on a section of Beijing’s North Fifth Ring Road, an improved ATI-CFAR method to estimate ATI amplitude and phase, etc. Experimental results suggest that TerraSAR-X data can be used in GMTI, however ATI phase is easily interfered. A published ATI-CFAR method might overestimate the threshold of interferometric phases, and result in missing detection of moving targets. The proposed method based on the priori knowledge of vehicle velocity is able to effectively improve the detection performance, and it improves the detection rate of moving targets in the study area up to 70%, and has an accuracy of 87.5%. The work of this paper validates the availability and potential of TerraSAR-X data in GMTI application.

Key words: ground moving target indication (GMTI), synthetic aperture radar (SAR), along track interferometry (ATI), constant false alarm rate (CFAR), TerraSAR-X

焦健, 田崇瑞, 黄江辉, 曾琪明. TerraSAR-X数据沿轨干涉运动目标检测研究[J]. 北京大学学报自然科学版, 2020, 56(1): 164-172.

JIAO Jian, TIAN Chongrui, HUANG Jianghui, ZENG Qiming. Research on Moving Target Indication Based on Along Track Interferometry of TerraSAR-X Data[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2020, 56(1): 164-172.

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链接本文: https://xbna.pku.edu.cn/CN/10.13209/j.0479-8023.2019.112

https://xbna.pku.edu.cn/CN/Y2020/V56/I1/164

TerraSAR-X数据沿轨干涉运动目标检测研究

Research on Moving Target Indication Based on Along Track Interferometry of TerraSAR-X Data

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