Ship Detection by Synthetic Aperture Radar with Ground-based Maritime Radar with AIS
MLCC(Multi-Look Cross-Correlation)is a useful technique to extract the images of ships embedded in sea clutter from SAR(Synthetic Aperture Radar)data 1,2.However,the previous MLCC has a difficulty of detecting small ships since SNR(Signal-to-Noise Ratio)is not high enough.Therefore,we developed a new Improved MLCC(IMLCC)to increase SNR to extract small boats.Although the LMLCC method increased SNR,there still remained some highly correlated noises in the coherence images caused by strong radar backscatter from sea surface.In order to improve the IMLCC algorithm further,we propose a new method of applying Lognormal-CFAR(Constant False Alarm Rate)to IMLCC coherence images.The results using ALOS-PALSAR(Advanced Land Observing Satellite-Phased Array L-band SAR)data showed substantial improvement in SNR and detection rate.
Eun-Sung Won Kazuo Ouchi
Department of Computer Science,School of Electrical and Computer Engineering National Defense Academy,1-10-20 Hashirimizu,Yokosuka,Kanagawa 239-8686,Japan
国际会议
Progress in Electromagnetics Research Symposium 2011(2011年电磁学研究新进展学术研讨会)
苏州
英文
31-34
2011-09-01（万方平台首次上网日期，不代表论文的发表时间）