Principal Component Analysis Scale-Invariant Feature Transform (PCA-SIFT) for Shared Principal Components

PCA-SIFT implementation code for SAR image registration, featuring principal component analysis-based scale-invariant feature transformation with optimized keypoint descriptors and matching algorithms. This resource provides radar enthusiasts and SAR professionals with efficient image alignment tools leveraging improved SIFT methodology.