基于光学遥感图像的舰船目标检测技术研究

摘要/Abstract

摘要： 舰船目标的检测与识别技术是遥感图像处理与分析领域的研究热点,应用广泛。文中针对光学遥感图像,围绕舰船目标检测的一般处理流程,综述了目前各环节采用的主要处理方法,分析比较了各方法的优劣,指出了各环节面临的瓶颈问题,阐述了自然图像上的检测方法应用于舰船目标检测时的局限性,并讨论了当前研究面临的挑战,最后对相关的发展趋势进行了展望。

关键词: 光学遥感图像, 舰船检测, 舰船识别

Abstract: The detection of ships in optical remote sensing images is a research hotspot with broad applications in the field of remote sensing image processing and analysis.Based on the optical remote sensing image,this paper summarized the main processing methods used in each link around the general processing flow of ship detection,and analyzed the advantages and disadvantages of each method.Then,the paper pointed out the bottleneck problems faced by each link,expounded the limitations of natural image detection methods applied to ship target detection and discussed the challenges faced by current research.Finally,the relevant development trends were discussed.

Key words: Optical remote sensing image, Ship classification, Ship detection

中图分类号:

TP399

尹雅,黄海,张志祥. 基于光学遥感图像的舰船目标检测技术研究[J]. 计算机科学, 2019, 46(3): 82-87. https://doi.org/10.11896/j.issn.1002-137X.2019.03.010

YIN Ya, HUANG Hai, ZHANG Zhi-xiang. Research on Ship Detection Technology Based on Optical Remote Sensing Image[J]. Computer Science, 2019, 46(3): 82-87. https://doi.org/10.11896/j.issn.1002-137X.2019.03.010

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