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作 者:徐芳[1] 刘晶红[1] 孙辉[1] 王腾龙 王宣[1] XU Fang;LIU Jing-hong;SUN Hui;WANG Teng-long;WANG Xuan(Key Laboratory of Airborne Optical Imaging and Measurement,Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;Northeast Electric Power Design Institute Co.Ltd.,China Power Engineering Consulting Group,Changchun 130021,China)
机构地区:[1]中国科学院长春光学精密机械与物理研究所航空光学成像与测量重点实验室,吉林长春130033 [2]中国电力工程顾问集团东北电力设计院有限公司,吉林长春130021
出 处:《光学精密工程》2021年第4期916-931,共16页Optics and Precision Engineering
基 金:国家自然科学基金资助项目(No.61905240)。
摘 要:海面船舶目标检测一直是遥感图像处理、模式识别与计算机视觉等领域的研究热点,船舶作为海上运输载体和重要军事目标,对其进行自动检测在军用与民用领域有着广阔的应用前景和重要现实意义。本文梳理了用于海面船舶目标检测的光学成像卫星的发展情况,分析了光学遥感成像船舶目标的物理特性和特征,归纳了国内外该领域海面船舶检测技术研究现状,围绕构建相关目标检测模型和架构的相关理论与关键技术进行了分析、比较和总结,探讨了当前光学遥感图像船舶目标检测方法面临的问题与挑战以及未来的发展趋势。Vessel detection has always been a popular research topic in fields such as remote sensing image processing,pattern recognition,and computer vision.As vessels are maritime transport carriers and important military objects,vessel detection plays an important role in a spectrum of related military and civil fields.It has broad application prospects and high practical significance.This paper provides an overview of the existing literature on vessel detection using optical satellite imagery.The development of optical satellites for vessel detection on the sea surface is reviewed.The physical characteristics of vessels in optical remote sensing imaging are analyzed.The global research status of vessel detection technology using optical remote sensing imaging is summarized.The related theories and key technologies pertaining to the target detection model and architecture are analyzed and compared in detail.The problems and challenges of vessel detection methods using optical remote sensing images are discussed.Aiming at the urgent demand for good performance and robustness of the algorithm in practical applications,some crucial problems that need to be solved are proposed.The development trend of future research on vessel detection using optical remote sensing images is discussed.
关 键 词:遥感成像 图像处理 船舶检测 候选区域提取 图像数据集
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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