SAR Image Target Detection Based on ODVI
基于有序数据可变索引的SAR图像目标检测方法

A new CFAR method for SAR image target detection based on ODVI-AC is proposed in this paper, The reference cells of the test cell are firstly processed by an automatic censoring algorithm in order to remove the cells of clutter and interfering targets in the reference window. The remaining cells which are homogeneous can be used to describe the statistical property of the local environments and to evaluate the parameters of the probability density function. The remaining cells can also used to yield the test statistics of two-parameter CFAR detector and calculate the adaptive CFAR threshold. The performance of ODVI-AC CFAR detector is analyzed theoretically to show its superiority. Finally, the field X band SAR image data is used as test data for this algorithm, and the comparison with other CFAR methods is favorable to the ODVI-AC CFAR in this paper.