The statistical analysis of SAR target based on the correlation algorithm

Utilizing MSTAR measured target data, we analyze statistical trend in the entire measurement training set every 1 deg in azimuth based on correlation algorithm. After segmentation and normalization, each test image was correlated with all the training images to generate correlation and classification statistics and correlation plots. The correlation plots varied approximately sinusoidally with aspect, and all the training sets show that a target was highly correlated at both the correct aspect angle and the correct angle rotated 180 deg, and this two correlation scores corresponded to the two local amplitudes of the correlation plot.