YANG Zhi-wei, ZHANG Rui, XU Hua-jian, et al. A Multi-features-Aided Method for Extended Target Detection of SAR-GMTI[J]. Acta Electronica Sinica, 2016, 44(12): 2916-2923.
YANG Zhi-wei, ZHANG Rui, XU Hua-jian, et al. A Multi-features-Aided Method for Extended Target Detection of SAR-GMTI[J]. Acta Electronica Sinica, 2016, 44(12): 2916-2923. DOI: 10.3969/j.issn.0372-2112.2016.12.015.
This paper deals with the target-detection issue that 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 extended targets with conventional target detection methods based on the poin target cause decrease in detection performance
a Shape-Shadow-Aided Moving Target Detector(S
2
A-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 clustered.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.the simulation results show the validity that this method improves the detection performance of the extended target under low signal-to-noise ratio.