At present, the neural network is often based on the real field of operation, research shows that, compared with the real field, the complex has incomparable advantages in the field of image processing, such as the complex represents more information, such as the phase information and modulus value, which play a great role in some fields. To take full advantage of complex data, This paper mainly studies CNN network, and through complex value processing, and get Complex Convolutional Neural Networks(CCN), complete the construction of complex convolution neural network. In order to study complex neural network, we start from two aspects, one is convolution operation, the other is network construction. In this paper, we use ENet as the basic structure of the model, replace the convolutional structure, pooling structure, and BatchNorm structure with the complex form, use it in the Flevoland dataset, and get a good test results.