Fast Acquirement of Vehicle Targets from High-Resolution SAR Images Based on Combining Multi-Feature

GAO Gui; JIANG Yong-mei; ZHANG Qi; KUANG Gang-yao; LI De-ren

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Fast Acquirement of Vehicle Targets from High-Resolution SAR Images Based on Combining Multi-Feature

更新时间：2025-07-16

- Fast Acquirement of Vehicle Targets from High-Resolution SAR Images Based on Combining Multi-Feature
- Acta Electronica Sinica Vol. 34, Issue 9, Pages: 1663-1667(2006)
- 作者机构：
  
  1. 国防科技大学电子科学与工程学院,湖南,长沙,410073
  2. 武汉大学,湖北,武汉,430079
  3. 国防科技大学电子科学与工程学院湖南长沙,410073
  4. 武汉大学湖北武汉,430079
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published Online：25 September 2006，
  
  Published：2006
- 稿件说明：
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GAO Gui, JIANG Yong-mei, ZHANG Qi, et al. Fast Acquirement of Vehicle Targets from High-Resolution SAR Images Based on Combining Multi-Feature[J]. Acta Electronica Sinica, 2006, 34(9): 1663-1667.
DOI：

GAO Gui, JIANG Yong-mei, ZHANG Qi, et al. Fast Acquirement of Vehicle Targets from High-Resolution SAR Images Based on Combining Multi-Feature[J]. Acta Electronica Sinica, 2006, 34(9): 1663-1667. DOI：

摘要

提出了一种高分辨率SAR图像机动目标快速获取方法.该方法首先利用SAR图像中的对比度信息采用CFAR检测以确定图像中潜在目标区域的位置

然后提取每一个潜在目标区域的尺寸特征、形状特征以及对比度特征进行基于投票机制的目标鉴别

从而滤除自然杂波虚警以及部分人造杂波虚警.实测数据的结果证明了该方法的有效性.

Abstract

A method for fast acquirement of vehicle targets from high-resolution SAR images is proposed.At first

a constant false alarm rata (CFAR) detector is utilized to locate the potential target regions.Then size

shape

and contrast features of each potential region are computed for target discrimination

and false alarms created by nature clutter and partial man-made clutter are rejected by combining these features to make determination based on voting decision.The experiment results show the proposed method is effective.

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Related Institution

School of Information System and Management,NUDT

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