AIS Data Aided Rayleigh CFAR Ship Detection Algorithm of Multiple-Target Environment in SAR Images

This article proposes an automatic identification system (AIS) data aided Rayleigh constant false alarm rate (AIS-RCFAR) ship detection algorithm of multiple-target environment in synthetic aperture radar (SAR) images. This method aims to improve the detection performance in complex environment with...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems Jg. 58; H. 2; S. 1266 - 1282
Hauptverfasser:	Ai, Jiaqiu, Pei, Zhilin, Yao, Baidong, Wang, Zhaocheng, Xing, Mengdao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive-depth based clutter trimming Algorithms Artificial intelligence Automatic Identification System (AIS) information Closed-form solution Clutter Constant false alarm rate Constant false alarm rate (CFAR) Detectors False alarms Marine vehicles Maximum likelihood estimators Outliers (statistics) Parameter estimation Pixels Probability density functions Radar imaging Radar polarimetry Rayleigh distribution SAR ship detection Synthetic aperture radar Target detection Trimming
ISSN:	0018-9251, 1557-9603
Online-Zugang:	Volltext
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