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基于SAR图像变化的小型目标检测

Small Target Detection Based on SAR Image Changes

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针对战场侦察的需求,结合SAR图像成像范围广、成像精度高的特性,SAR图像变化检测技术可应用于小目标检测.本文基于SAR图像尺度大而目标尺寸较小的特点,在差值法的基础上进行了改进.采用中值滤波进行图像降噪,并提出使用自适应下采样的方法进行快速图像配准,利用幂次变换增加目标信杂比提高检测率.通过实验验证改进差值法的有效性,其能够在保证检测率的同时缩短检测时间.
In response to the reconnaissance needs on the battlefield,Synthetic Aperture Radar(SAR)image change detection technology,characterized by a wide imaging range and high imaging accuracy,can be applied to small target detection.In this paper,based on the large scale and small target size of SAR image,the difference method was improved.The medium-value filter was used for image noise reduction,and an adaptive sampling meth-od was proposed for fast image registration,and detection rate was improved by using power transform to increase target signal-to-noise ratio.Experiments verified the effectiveness of the improved difference method,which can shorten the detection time while ensuring the detection rate.

SAR imageobject detectionsmall targetsquick registration

康玉奇、向聪、王伟、于贵龙

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西安电子工程研究所 西安 710100

SAR图像 目标检测 小型目标 快速配准

2024

火控雷达技术
西安电子工程研究所

火控雷达技术

影响因子:0.234
ISSN:1008-8652
年,卷(期):2024.53(1)
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