TY - JOUR ID - 3860 TI - Performance Comparison of the Target Detection Methods in High Speed Platform Forward Looking SAR (HSP-FLSAR) JO - Journal of Communication Engineering JA - JCE LA - en SN - 2322-4088 AU - hosseini miangafsheh, sayed mahdi AU - Kazerooni, Morteza AU - abolghasemi, Mojtaba AD - electrical and computer engineering, malek ashtar university of technology, tehran, iran AD - Department of electrical and electronic engineering- malek ashtar university of technology AD - Electrical and Electronics Engineering Dept., Malek-e-Ashtar University of Technology, Tehran, Iran Y1 - 2021 PY - 2021 VL - 10 IS - 1 SP - 83 EP - 94 KW - CFAR KW - Forward Looking SAR KW - High Speed Platform KW - Target Detection DO - 10.22070/jce.2022.16372.1218 N2 - Sea target detection in the HSP-FLSAR images has not been addressed so far in the literature. In this paper we carry out a comparative evaluation of existing SAR target detection algorithms in the case of monostatic HSP-FLSAR range Doppler images assuming a platform diving trajectory. To do so, various CFAR methods, including CA-CFAR, SOCA-CFAR, GOCA-CFAR, OS-CFAR, VIE-CFAR, and G0 distribution CFAR algorithms, are used to detect a set of point scatterers in simulated images. The performance of methods is compared based on receiver operating characteristic curves. Simulation results show that OS-CFAR has the best probability of detection for a fixed probability of false alarm. This paper can be a starting point to find better target detection methods in HSP-FLSAR images. UR - https://jce.shahed.ac.ir/article_3860.html L1 - https://jce.shahed.ac.ir/article_3860_9102bcdb836f4b844edf9c4462861b4a.pdf ER -