基于机器学习的船舶检测和跟踪，利用卫星图像进行海上监视

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Ambient Intelligence and Smart Environments Pub Date : 2021-08-23 DOI:10.3233/AIS-210610

Yu Wang, G. Rajesh, X. M. Raajini, N. Kritika, A. Kavinkumar, Syed Bilal Hussain Shah

引用次数: 12

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Machine learning-based ship detection and tracking using satellite images for maritime surveillance

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来源期刊

Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

4.30

自引率

17.60%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.