基于广义逆高斯纹理结构的目标检测算法

A target detection algorithm based on generalized inverse Gaussian (GIG) texture structure spatial correlation is proposed to address the Performance loss ol coherent detectors caused by mismatched selection of sea clutter models and the assumption of completely non-uniform of sea clutter texture structures. Firstly, the target detection model under correlated clutter background is analyzed, and the spatial correlation of sea clutter texture structure is introduced as prior information. Then, based on the two-step generalized likelihood ratio test (GLRT) criterion, the coherent detector under correlated GIG texture background is derived. Finally, it is theoretically proved that the proposed detector has constant false alarm characteristics for speckle covariance matrix and target Doppler guidance vector. The experimental results based on Simulation test and measured data show that the proposed detector improves the detection Performance of sea surface targets in both uniform and partially uniform clutter backgrounds.