StructGNN-UNet: Research on Automatic 3D Segmentation of Aircraft Ice Pores Based on Graph Neural Networks

Abstract

AbstractAircraft icing poses a serious threat to flight safety, and accurately identifying the three-dimensional (3D) pore structures within dynamic ice is crucial for informing anti-icing and deicing strategies. Although micro-nano computed tomography (...Practical ApplicationsAircraft icing is a major hazard to flight safety, and understanding the three-dimensional (3D) pore structures in dynamic ice is key to better anti-icing and deicing. While micro-nano computed tomography (CT) can take images of ice’...