基于遥感图像的海上舰船目标检测在船舶监控、海上交通管理和军事领域具有重要的作用，近年来，海上船舶遥感图像的快速、准确识别成为一项研究热点。由于舰船海上遥感图像中存在大量的干扰信号，本文采用一种基于视觉显著性PQFT模型的遥感图像处理技术，并结合图像粒子滤波算法，设计了一种新型遥感图像舰船目标检测方法。大量的图像分析数据表明，该算法具有较高的精度和效率。
Ship target detection based on remote sensing images plays an important role in ship monitoring, maritime traffic management and military fields. In recent years, the research on fast and accurate recognition of ship remote sensing images has become a hot spot. Because there are a large number of interference signals in ship remote sensing images, this paper adopts a remote sensing image processing technology based on visual saliency PQFT model, combined with image particle filter algorithm, A new ship target detection method in remote sensing image is designed. A large number of image analysis data show that the algorithm has high accuracy and efficiency.
2022,44(15): 169-172 收稿日期：2022-01-13
DOI：10.3404/j.issn.1672-7649.2022.15.036
分类号：U615.27
基金项目：吉林省教育厅科学研究项目（JJKH20210752KJ）。
作者简介：张丽杰(1981-)，女，硕士，讲师，研究方向为数据挖掘及人工智能应用
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