Detecting Moving Targets in a SAR Image According to the Information from Moving Targets and Fixed Background

CHEN Guang-dong; ZHANG Chang-yao; ZHU Dai-yin; GE Jia-long; NIE Zhi-biao; ZHANG Xu-jin

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Detecting Moving Targets in a SAR Image According to the Information from Moving Targets and Fixed Background

更新时间：2025-07-16

- Detecting Moving Targets in a SAR Image According to the Information from Moving Targets and Fixed Background
- Acta Electronica Sinica Vol. 35, Issue 6, Pages: 1207-1211(2007)
- 作者机构：
  
  1. 南京航空航天大学信息科学与技术学院,江苏,南京,210016
  2. 华东电子工程研究所,安徽,合肥,230031
  3. 南京航空航天大学信息科学与技术学院江苏南京,210016
  4. 华东电子工程研究所安徽合肥,230031
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN951
- Published：2007
- 稿件说明：
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CHEN Guang-dong, ZHANG Chang-yao, ZHU Dai-yin, et al. Detecting Moving Targets in a SAR Image According to the Information from Moving Targets and Fixed Background[J]. Acta Electronica Sinica, 2007, 35(6): 1207-1211.
DOI：

CHEN Guang-dong, ZHANG Chang-yao, ZHU Dai-yin, et al. Detecting Moving Targets in a SAR Image According to the Information from Moving Targets and Fixed Background[J]. Acta Electronica Sinica, 2007, 35(6): 1207-1211. DOI：

摘要

本文结合遗传算法

研究同时利用SAR(Synthetic Aperture Radar)图像中动静目标信息检测动目标的高效算法

进一步揭示单通道SAR/GMTI的潜力.单通道SAR图像中包含着动目标和静止背景信息

在SAR图像方位向信号中

以对称搜索二次相位和对称带通滤波(通带针对动目标频谱)所得两图像模差的绝对值检测动目标

既利用其中的静止背景信息抑制杂波

又利用其中的动目标信息聚焦动目标能量

能获得更好的动目标检测性能.

Abstract

An optimal scheme is provided for the detection of moving objects observed in airborne SAR(Synthetic Aperture Radar) image.Along cross-range direction

the image data pass through a band-pass filter aiming at the frequency spectrum of the moving target and is corrected by subtracting the moving target quadratic phase error.Then

the same data pass through a band-pass filter aiming at the mirror frequency spectrum of the moving target and is corrected by adding the same quadratic phase.Both results are projected to time axis

and the moving target is detected by subtracting the two images’ energy.Combined with genetic algorithm

the effective parameter estimation and high detection speed are achieved.The experimental results verify the effectiveness of the method.

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Publicity Resources

Cross-Modal SAR Target Detection via Progressive Knowledge Transfer

End-to-End Full Complex-Valued Domain SAR Target Classification Neural Network

Genetic Algorithm Based MIMO Equalization Parameter Optimization Technology for Mode-Division Multiplexed System

An Absorbing Structure Covering the Whole UHF Band

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