FastPFM: a multi-scale ship detection algorithm for complex scenes based on SAR images

IF 3.2 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Wei Wang, Dezhi Han, Chongqing Chen, Zhongdai Wu
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引用次数: 0

Abstract

Synthetic Aperture Radar (SAR) is renowned for its all-weather capabilities, exceptional penetration, and high-resolution imaging, making SAR-based ship detection crucial for maritime surveillance ...
FastPFM:基于合成孔径雷达图像的复杂场景多尺度船舶探测算法
合成孔径雷达 (SAR) 以其全天候能力、超强穿透力和高分辨率成像而闻名于世,因此基于 SAR 的船舶探测对海上监视至关重要。
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来源期刊
Connection Science
Connection Science 工程技术-计算机:理论方法
CiteScore
6.50
自引率
39.60%
发文量
94
审稿时长
3 months
期刊介绍: Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.
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