Structural Preservation Governs Data Augmentation in Deep Learning-Based Laser Speckle Material Classification

Data augmentation is routinely used to improve generalization in image classification, but the assumptions underlying standard policies are poorly matched to coherent imaging. Laser speckle patterns are not generic textures; they arise from coherent interference, and their discriminative content is