Measurement Principles-data-domain Knowledge Fusion Reconstruction Method for ECT
Low-quality images constrain the application of electrical capacitance tomography in multiphase flow parameter measurements.Aiming at this problem,the data driven prior(DDP)predicted by a deep convolutional neural network was intro-duced,and a new imaging model fusing the measurement principle,the DDP and the sparsity prior was proposed.A new algorithm was established to achieve the efficient solution of the imaging model.Evaluation results confirm that the new algorithm has significant advantages over other imaging algorithms in terms of detail reconstruction,artifact removal and robustness.
NETL
NSTL
万方数据
维普
