Urban functional area identification method, modules, devices and storage device thereof

Abstract

The present invention provides an urban functional area identification method, modules, devices and a storage device thereof. The method comprises the steps that: a data acquisition device acquires data and carries out preprocessing on the data; a data classification device classifies a part of data which is subjected to preprocessing, and a CNN (convolutional neural network) model is used in the step; an area division device divides a part of data which is subjected to preprocessing; an identification device identifies divided data and generates function areas with the combination of the classified data; and a superposition device superimposes the function areas. The module and the devices comprise a data acquisition module and device, a data classification module and device, an area division module and device, an identification module and device, and a superimposition module and device. The above modules and devices and the storage device are used to realize the urban functional area identification method. The method, the modules and the devices can be used for accurately identifying urban functional areas, and a reasonable planning is made for the scientific development of a city.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method, module, device and storage device for identifying urban functional areas. Background technique [0002] The identification of urban functional areas is an important basis for a series of applications such as environmental research, spatial planning, and urban management. The rational division of urban functional areas helps to rationally plan and grasp the urban spatial structure, and formulate scientific development plans for the city. However, the traditional division of urban functional areas is mainly based on field surveys or methods assisted by remote sensing technology. These methods have problems such as strong subjectivity, poor timeliness, and need to consume a lot of manpower and financial resources. Contents of the invention [0003] In order to solve the above problems, the present invention provides a method, module, device and storage device for identifying urb...

AI Technical Summary

Problems solved by technology

However, the traditional division of urban functional areas is mainly based on field surveys or methods assisted by remote sensing technology. These methods have problems such as strong subjectivity, poor timeliness, and need to consume a lot of manpower and financial resources.

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