Moving Targets Detection in SAR Images Based on Sub-Aperture Decomposition

ZHANG Lu; GUO Hua-dong; HAN Chun-ming; ZHOU Ping

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Moving Targets Detection in SAR Images Based on Sub-Aperture Decomposition

更新时间：2025-07-16

- Moving Targets Detection in SAR Images Based on Sub-Aperture Decomposition
- Acta Electronica Sinica Vol. 36, Issue 6, Pages: 1210-1213(2008)
- 作者机构：
  
  1. 中国科学院遥感应用研究所遥感信息科学重点实验室,北京,100101
  2. 北京环境特性研究所目标与环境电磁散射辐射国家科技重点实验室,北京,100854
  3. 中国科学院遥感应用研究所遥感信息科学重点实验室北京,100101
  4. 北京环境特性研究所目标与环境电磁散射辐射国家科技重点实验室北京,100854
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957.52
- Published：2008
- 稿件说明：
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ZHANG Lu, GUO Hua-dong, HAN Chun-ming, et al. Moving Targets Detection in SAR Images Based on Sub-Aperture Decomposition[J]. Acta Electronica Sinica, 2008, 36(6): 1210-1213.
DOI：

ZHANG Lu, GUO Hua-dong, HAN Chun-ming, et al. Moving Targets Detection in SAR Images Based on Sub-Aperture Decomposition[J]. Acta Electronica Sinica, 2008, 36(6): 1210-1213. DOI：

摘要

运动目标在合成孔径雷达SAR(Synthetic Aperture Radar)图像中的成像会出现模糊

散焦等现象

并且会在方位向出现明显的偏移

这些会导致运动目标的目标杂波比TCR(Target-to-clutter Ratio)降低.本文在子孔径分解技术的基础上提出一种从单通道SAR单视复图像SLC(Single Look Complex)中检测动目标的方法

该方法通过子孔径图像之间的相减操作来抑制杂波

从而提高TCR.通过对机载CV-580数据和星载Envisat ASAR 数据进行测试

证明了该方法的有效性.

Abstract

Moving targets appear seriously degraded with smearing

defocusing and apparent shifts in the azimuth direction in Synthetic aperture radar (SAR)images and give rise to a considerable loss of the target-to-clutter ratio (TCR).This paper proposes a method to detect moving targets in single-channel SAR single look complex (SLC)image based on sub-aperture decomposition technique.The method can suppress the clutter by image subtraction between two sub-aperture images

therefore enhance the TCR.The effectiveness of the method is demonstrated on airborne Convair-580 data and Envisat ASAR data.

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Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing,Xidian University

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