当前位置: X-MOL 学术Arab. J. Geosci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Discussion on ecological design and construction of river landscape based on fine-grained image classification
Arabian Journal of Geosciences Pub Date : 2021-07-28 , DOI: 10.1007/s12517-021-07843-4
XueYang Li 1 , Xiaozhao Cao 1
Affiliation  

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.



中文翻译:

基于细粒度图像分类的河流景观生态设计与建设探讨

细粒度图像分类方法在对神经网络进行随机权重训练时没有很好的训练效果。对于卷积神经网络条件下的细粒度分类,主要原因是其升级方法可以更好地提高卷积神经网络的稳定性。通过双线性卷积神经网络进行细粒度分类是将多个卷积神经网络进行有效合并,从而获得高分辨率的优势来改进细粒度分类的方法。随着社会的发展和城市建设的完善,城市河流的人工改造会在一定程度上加强改造后的河流的连通性和畅通性,但也会影响河流的自我修复。目前,河流污染治理是国家环境污染治理的一个重要方面。通过数据交换等方式获取城市沿江生态环境的改造与恢复情况。建立科学完整的植物群落和归化护岸体系,可以减少河水对河岸的影响。同时,这些归化的护岸植物还可以起到防洪、泄洪的作用,在一定程度上可以影响被污染的水质,起到净化作用。在开展河流生态环境保护的同时,也注重河流景观的设计和规划,使河流在有优美的景观设计的同时,能够承受流水的冲击,

更新日期:2021-07-28
down
wechat
bug