Intelligent Inspection Method for Aircraft Damage Defects Based on Small-Sample Data Augmentation

Abstract

AbstractAccurate detection of aircraft surface damage is critical for assessing structural integrity, yet the scarcity of labeled damage images poses a significant challenge for deep learning–based inspection methods. This paper proposes a novel ...Practical ApplicationsThis research introduces an advanced aircraft damage detection approach tailored for operational environments where obtaining extensive labeled image data is impractical. By leveraging ADISA-GAN, the framework significantly enhances ...