Point association analysis of vessel target detection with SAR, HFSWR and AIS

• Published in: Acta oceanologica Sinica Vol. 33; no. 9; pp. 73 - 81
• Main Authors: Ji, Yonggang, Zhang, Jie, Meng, Junmin, Wang, Yiming
• Format: Journal Article
• Language: English
• Published: Heidelberg The Chinese Society of Oceanography 01.09.2014; Springer Nature B.V; First Institute of 0ceanography, State 0ceanic Administration, Qingdao 266061, China
• Subjects: AIS; Association analysis; Azimuth; Climatology; Data integration; Detection; Earth and Environmental Science; Earth Sciences; Ecology; Engineering Fluid Dynamics; Environmental Chemistry; HFSWR; High frequency; Marine & Freshwater Sciences; Oceanography; Radar; Radial velocity; Remote sensors; SAR (radar); Sensors; Surface water waves; Surface waves; Synthetic aperture radar; Target detection; Target recognition; Vessels; 关联分析; 星载SAR; 目标检测; 船舶自动识别系统; 高频地波雷达; 高频表面波雷达; China; data fusion; point association; AIS; vessel target detection; SAR; HFSWR
• ISSN: 0253-505X; 1869-1099
• DOI: 10.1007/s13131-014-0498-2

A space-borne synthetic aperture radar （SAR）, a high frequency surface wave radar （HFSWR）, and a ship automatic identification system （AIS） are the main remote sensors for vessel monitoring in a wide range. These three sensors have their own advantages and weaknesses, and they can complement each other in some situations. So it would improve the capability of vessel target detection to use multiple sensors including SAR, HFSWR, and A/S to identify non-cooperative vessel targets from the fusion results. During the fusion process of multiple sensors＇ detection results, point association is one of the key steps, and it can affect the accuracy of the data fusion and the efficiency of a non-cooperative target＇s recognition. This study investigated the point association analyses of vessel target detection under different conditions： space- borne SAR paired with AIS, as well as HFSWR, paired with AIS, and the characteristics of the SAR and the HFSWR and their capability of vessel target detection. Then a point association method of multiple sensors was proposed. Finally, the thresholds selection of key parameters in the points association （including range threshold, radial velocity threshold, and azimuth threshold） were investigated, and their influences on final association results were analyzed.