Retraction Note: Discussion on ecological design and construction of river landscape based on fine-grained image classification

Abstract

The fine-grained image classification method does not have a very good training effect when performing random weight training for neural networks. For the fine-grained classification under the condition of convolutional neural network, the main reason is that its upgrading method can better improve the stability of convolutional neural network. Fine-grained classification through bilinear convolutional neural networks is to effectively merge several convolutional neural networks, so as to obtain a high-resolution advantage to improve the method of fine-grained classification. With the development of society and the improvement of urban construction, the artificial reconstruction of rivers in the city will strengthen the connectivity and smoothness of the reconstructed river to a certain extent, but it will also affect the self-healing of the river. At present, the treatment of river pollution is a major aspect of the country’s treatment of environmental pollution. Obtain the transformation and restoration of the ecological environment around the river in the city through data exchange and other methods. Establishing a scientific and complete plant community with a naturalized revetment system can reduce the impact of river water on the riverbank. At the same time, these naturalized revetment plants can also play a role in flood prevention and discharge, and to a certain extent, it can affect the polluted water quality and give purification. While carrying out the ecological environment protection of the river, it also pays attention to the design and planning of the river landscape, so that the river can withstand the impact of flowing water while having a beautiful landscape design, so as to realize the ecological civilization construction of the river landscape.