Principal Component Analysis and Minimum Description Length Criterion Based on Through-Wall Image Enhancement

A through-wall image enhancement scheme is proposed based on principal component analysis and minimum description length criterion. The minimum description length criterion is used with principal component analysis to extract target eigen components. The proposed scheme is capable of extracting multiple targets from heavy cluttered through-wall images. The results of the proposed scheme are compared with existing schemes on the basis of quantitative analysis and visual inspection.