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

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2024-02-19 DOI:10.1080/09540091.2024.2313854

Wei Wang, Dezhi Han, Chongqing Chen, Zhongdai Wu

引用次数: 0

摘要

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。

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

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 ...

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

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.