Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion.
Jing RaoFangshu YangHuadong MoStefan KollmannsbergerErnst RankPublished in: CoRR (2021)
Keyphrases
- multi layered
- image reconstruction
- emission tomography
- fan beam
- neural learning
- three dimensional
- reconstruction method
- qualitative and quantitative
- reconstructed image
- reconstruction process
- compressed sensing
- data sets
- high resolution
- discrete tomography
- quantitative and qualitative
- compressive sensing
- tomographic reconstruction
- reconstruction error
- sparse coding
- deep learning
- stereo reconstruction
- super resolution
- scan data