A method for automatic division of catchment area of ​​urban drainage pipe network

Abstract

An automatic division method of urban drainage pipe network catchment area solves the problem of low efficiency of existing catchment area division, and belongs to the cross-application fields of environmental engineering, visible light remote sensing image semantic segmentation and computer vision. The present invention includes: S1, obtaining remote sensing images of urban target areas, and constructing a training data set; S2, using a convolutional neural network to couple a variant residual network to construct a road network extraction convolutional neural network model, and the variant residual network as a convolution The coding structure of the neural network; S3. Use the training data set to train the road network to extract the convolutional neural network model, and determine the parameters of the road network to extract the convolutional neural network model; S4. Input the remote sensing image of the city to be divided into the road network to extract the convolution In the neural network model, road network information is extracted; S5, the extracted road network information is divided into catchment areas, combined with the prior information on the distribution of rainwater well points, the inverse distance weighted Thiessen polygon method is used to further divide sub-catchment areas .

Description

technical field [0001] The invention relates to a method for automatically dividing urban drainage pipe network catchment areas based on a convolutional neural network coupling variant residual learning unit, and belongs to the cross-application fields of environmental engineering, visible light remote sensing image semantic segmentation, and computer vision. Background technique [0002] The establishment process of the urban drainage network model mainly includes the division of catchment area, the input of pipe section parameters, the parameter setting of key wading facilities, and the calibration of sensitivity parameters. Among them, the division of catchment areas is the basis for the construction of the entire drainage network model, and the accuracy of the division results directly affects the calculation accuracy of urban rainwater infiltration, evaporation and runoff processes. [0003] In the process of traditional urban drainage network modeling, the division of ...

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Problems solved by technology

[0004] Aiming at the problem of low efficiency of existing water catchment division, the present invention provides an automatic division method of urban drainage pipe network water catchment

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