船舶检测与识别在近海和近岸的应用:综述

IF 0.8 Q4 ROBOTICS
I. S, Sasikala J., Sujitha Juliet D.
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引用次数: 6

摘要

目的本文旨在研究各种船舶探测方法。使用卫星图像进行船舶检测的准确性仍然受到混乱场景和船舶尺寸变化的干扰。本调查解释了这些技术在各种应用中的适用性。设计/方法论/方法收集了一份关于该主题的数据清单,并将其处理成表格。然后讨论了测试结果,以确定在各种复杂环境下最有效的船舶探测技术。发现在这项工作中,突出了不同的船舶检测分类技术的优缺点。本调查还解释了这些技术在各种应用中的适用性。为了提高船舶探测系统的精度,可以开发几种混合方法。这项调查也有助于突出卫星图像对有效的船舶探测系统的重大贡献。原创性/价值本文特别关注研究各种船舶探测方法。通过对各种分类器技术的详细比较分析,阐明了船舶检测和识别的概况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ship detection and recognition for offshore and inshore applications: a survey
Purpose The purpose of this paper is to study various ship detection methodologies. The accuracy of ship detection using satellite images still suffers from disturbances due to cluttered scenes and varying ship sizes. The suitability of the techniques for various applications is explained in this survey. Design/methodology/approach A list of data on the subject was gathered and processed into tables. The test outcomes were then discussed to determine the most effective ship detection technique under various complex environments. Findings In this work, the advantages and disadvantages of different classification techniques of ship detection are highlighted. The suitability of the techniques for various applications is also explained in this survey. Several hybrid approaches can be developed in order to increase the accuracy of ship detection system. This survey also aids in highlighting the significant contributions of satellite images to effective ship detection system. Originality/value In this paper, studying various ship detection methodologies is given specific attention. A survey on ship detection and recognition is clarified with the detailed comparative analysis of various classifier techniques.
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来源期刊
CiteScore
3.50
自引率
0.00%
发文量
21
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