Research On Slow-Moving Target Detection For High-Resolution Radar Under Remote Surveillance Mode

A high-resolution Synthetic Aperture Radar(SAR)-Ground Moving Target Indication(GMTI) system under remote surveillance mode faces many challenges, i.e., target-diffusing and low signal-to-noise ratio, and based on the fact that slow-moving-ground extended targets with conventional target detection methods based on the point target cause decrease in detection performance. Meanwhile, with the SAR resolution enhancing, the features in shape and shadow is more remarkable.So, there is a very important significance in that using shape and shadow information of targets improves the detection perfomance.On the basis of SAR imagaing geometric model, several typical SAR-GMTI methods are introduced. For the shadow of target, combining interferometric phase with interferometric amplitude extracts shadow regions in SAR image accurately Lastly, a Shape-Shadow-Aided Moving Target Detector(S2A-MTD) is proposed for extended target detection of airborne multichannel SAR-GMTI. First, the shaped information of a target is obtained when the residual image with adaptive clutter suppression is clustered.and degree of radial-velocity consistency information is uesd for target clustering accurately Then, shadow-template matched with shaped information of a target is evaluated, which is based on the model of the geometric relationship on a moving extended target and its shadow. Meanwhile, according to estimative radial velocity, position-matched condition with shadow is generated. Finally, taking all the information in shape, position and amplitude of shadow into consideration is to eliminate false targets that not satisfy with matching conditions, so as to reduce false alarms. Compared with conventional target detection methods based on the point target, this method improves the detection performance of the extended target under low signal-to-noise ratio. Besides, the influence factors is appropriately analyzed.