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Multi-model fusion-based population distribution estimation method and device, and storage medium

A population distribution and multi-model technology, applied in the field of deep learning and population distribution estimation, can solve the problems of being unsuitable for fine-grained urban management, low spatial resolution, and consuming more human and material resources, etc., and achieve good population distribution estimation effect Effect

Active Publication Date: 2021-10-26
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

Survey-based censuses can provide a comprehensive overview of a country's population, but on the one hand, censuses require more human and material resources; Suitable for fine-grained urban management, but the implementation cost is relatively high

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  • Multi-model fusion-based population distribution estimation method and device, and storage medium

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Embodiment Construction

[0025] In order to make the above objects, features and advantages of the present invention more comprehensible, specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0026] like figure 1 , in an embodiment of the present invention, the population distribution estimation method based on multi-model fusion includes:

[0027] Step S100, dividing the estimated population distribution area into multiple geographical units.

[0028] Population distribution estimation area refers to the research area of ​​population distribution, for example, a certain country, a certain province, a certain city, a certain district, or a certain plain, an area divided by a certain latitude and longitude. Geographical unit is the smallest unit of population distribution estimation in the present invention.

[0029] Optionally, step S100 includes: acquiring the basic image data of the estimated population distribution area; p...

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Abstract

The invention discloses a multi-model fusion-based population distribution estimation method and device, and a storage medium. The method comprises the following steps of dividing a population distribution estimation region into a plurality of geographic units; obtaining a population distribution influence factor of each geographic unit; generating a first-order adjacency matrix based on the adjacency relation between the geographic units, and generating the multi-source spatial representation data of each geographic unit according to the population distribution influence factor of each geographic unit and the first-order adjacency matrix of each geographic unit; respectively taking the multi-source spatial representation data of each geographic unit and the population distribution influence factor as the input of a preset population distribution estimation model, and respectively outputting a population estimation value of each geographic unit by the population distribution estimation model, wherein the population distribution estimation model comprises a space matrix feature coding model, a global attribute feature coding model, a data fusion model and a classifier model. According to the method, the spatial information and the attribute information are considered, and a very good population distribution estimation effect can be obtained.

Description

technical field [0001] The present invention relates to the technical field of deep learning and population distribution estimation, in particular to a population distribution estimation method, device and storage medium based on multi-model fusion. Background technique [0002] Population spatial distribution refers to the distribution of population in a certain period of time. Accurate knowledge of population distribution and population numbers is critical for resource use, urban hazard assessment, and regulation of the environment and urbanization processes. Survey-based censuses can provide a comprehensive overview of a country's population, but on the one hand, censuses require more human and material resources; It is suitable for fine-grained urban management, but the implementation cost is relatively high. Contents of the invention [0003] The problem solved by the present invention is that the spatial resolution of the existing estimation of population distribut...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06N3/04
CPCG06Q10/06315G06Q50/26G06N3/045Y02A90/10
Inventor 王力哲成路肖冯如意阎继宁宋维静王圣
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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