Multichannel left-subtract-right feature vector piston error detection method based on a convolutional neural network.To realize the large-scale and high-precision co-phasing adjustment of synthetic-aperture telescopes, we propose a multichannel left-subtract-right feature vector piston error detection method based on a convolutional neural network, which inherits the high precision and strong noise resistance of the DFA-LSR method while achieving a detection range of (-139λ, 139λ) (λ = 720 nm). 
convolutional neural network
Multichannel left-subtract-right feature vector piston error detection method based on a convolutional neural network.To realize the large-scale and high-precision co-phasing adjustment of synthetic-aperture telescopes, we propose a multichannel left-subtract-right feature vector piston error detection method based on a convolutional neural network, which inherits the high precision and strong noise resistance of the DFA-LSR method while achieving a detection range of (-139λ, 139λ) (λ = 720 nm). 
DFA-LSR method