海面漂浮小目标和舰船目标的分类方法

Hengli Yu;Zheng Cao;Guoqing Wang;Hao Ding;Ningbo Liu;Yunlong Dong
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引用次数: 0

摘要

基于特征的目标检测方法主要用于确定海面杂波条件下检测目标的存在与否,但在对不同类别的检测目标进行细微分类判断方面存在不足。船舶目标和海面漂浮小物体都在不同程度上显示出特定的海杂波特征。鉴于在海杂波中观察到的瞬态功率和多普勒中心带宽的周期一致性,本文借鉴两类目标各自的运动机制,研究了这一特征在两类目标中的表现程度。通过分析经验数据,验证了利用这一特征区分这两类目标的能力,随后提出了有助于目标分类的判别统计方法。数据证实了这一方法的有效性,显示了其强大的分类性能。
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A Classification Method for Marine Surface Floating Small Targets and Ship Targets
Feature-based target detection methods are predominantly used to determine the presence or absence of detection targets under sea clutter conditions, but they exhibit a deficiency in making nuanced classification judgments for the different categories of detected targets. Both ship targets and marine surface floating small objects display specific sea clutter characteristics to various degrees. Given the periodic consistency of transient power and the Doppler centroid bandwidth observed in sea clutter, this article examines the manifestation level of this characteristic in both categories of targets, drawing on their respective motion mechanisms. The ability to distinguish between these two categories of targets using this characteristic has been validated through the analysis of empirical data, subsequently leading to the formulation of discriminant statistics that facilitate target classification. The data confirm the effectiveness of this approach, illustrating its robust classification performance.
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2024 Index IEEE Journal on Miniaturization for Air and Space Systems Vol. 5 Table of Contents Front Cover The Journal of Miniaturized Air and Space Systems Broadband Miniaturized Antenna Based on Enhanced Magnetic Field Convergence in UAV
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