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Slow moving target detection for airborne radar systems by dynamic programming on SAR images

Gurer, Gorkem
Koc, Sencer
Candan, Çağatay
Orguner, Umut
A dynamic programming based approach is proposed to detect slow moving, low reflectivity targets for airborne radar systems. The suggested method utilizes the reflectivity amplitudes of the SAR image, possibly containing multiple slow moving targets, and poses the target detection problem as a maximum likelihood sequence detection problem. Dynamic programming is applied to capture the target related features such as along track smeared target signatures in the SAR image to this aim. Typical clutter and target models are estimated from SAR images. The performance of the algorithm is illustrated on a real SAR image acquired with SARPER™ radar developed by ASELSAN.