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基于模糊神经网络的舰船雷达图像弱小目标检测

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舰船雷达图像信息的维度较高,导致弱小目标的关键特征难以被精准提取,降低了弱小目标检测的可靠性,因此提出一种基于模糊神经网络的舰船雷达图像弱小目标检测方法.该方法对舰船雷达图像进行背景校正,利用图像灰度值加性模型从图像中提取弱小目标.最后将提取的弱小目标输入到模糊神经网络中,输出的结果即为舰船雷达图像弱小目标检测结果.通过实验证明,在不同高斯噪声环境中,该方法能够准确地检测出雷达图像中的弱小目标,并具有较快的检测速度.
Dim and small target detection in ship radar images based on fuzzy neural network
The high dimensionality of ship radar image information makes it difficult to accurately extract key features of weak targets,reducing the reliability of weak target detection.Therefore,a ship radar image weak target detection method based on fuzzy neural network is proposed.This method performs background correction on ship radar images and extracts weak targets from the images using an image grayscale additive model.Finally,the extracted weak targets are input into the fuzzy neural network,and the output result is the weak target detection result of the ship radar image.Through experiments,it has been proven that this method can accurately detect weak targets in radar images in different Gaussian noise environ-ments and has a fast detection speed.

ship radar imagesweak target detectionimage grayscale valuegaussian noise

张勇飞、陈涛

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南昌大学科学技术学院,江西九江 332020

南昌大学数学与计算机学院,江西南昌 330031

舰船雷达图像 弱小目标检测 图像灰度值 高斯噪声

国家自然科学基金江西省教育厅科学技术研究项目(2021)江西省高等学校教学改革研究省级项目(2022)

71363043GJJ217813JXJG-22-30-6

2024

舰船科学技术
中国舰船研究院,中国船舶信息中心

舰船科学技术

CSTPCD北大核心
影响因子:0.373
ISSN:1672-7649
年,卷(期):2024.46(9)