基于PQFT模型的遥感图像舰船目标检测方法  

Research on ship target detection method in remote sensing image based on pqft model

作　　者：张丽杰[1] 尹莉媛 贾一新 ZHANG Li-jie;YIN Li-yuan;JIA Yi-xin(School of Computer Science and Engineering,Changchun University of Technology,Changchun 130012,China)

机构地区：[1]长春工业大学计算机科学与工程学院,吉林长春130012

出　　处：《舰船科学技术》2022年第15期169-172,共4页Ship Science and Technology

基　　金：吉林省教育厅科学研究项目(JJKH20210752KJ)。

摘　　要：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.

关 键 词：PQFT模型 视觉显著性 遥感图像 粒子滤波算法 

分 类 号：U615.27[交通运输工程—船舶及航道工程]