performance comparison of the target detection methods in high speed platform forward looking sar (hsp-flsar)

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.