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Multi-source data-based urban three-student space identification and pattern analysis method

A technology of spatial recognition and multi-source data, applied in the field of geographic information science, can solve problems such as low data fineness, single data source, and greater influence of subjective factors, and achieve high reliability, accurate and fast recognition

Pending Publication Date: 2021-08-24
CENT SOUTH UNIV
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Problems solved by technology

The data sources used by these methods are relatively single, and different data types have certain disadvantages, such as low data fineness, slow update speed, inaccurate representation range, etc., and the classification process relies heavily on manual weighting, which is greatly influenced by subjective factors

Method used

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  • Multi-source data-based urban three-student space identification and pattern analysis method
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  • Multi-source data-based urban three-student space identification and pattern analysis method

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Embodiment Construction

[0040] Such as figure 1 It is a schematic flow chart of the method of the present invention: the multi-source data-based urban three-life space identification and pattern analysis method provided by the present invention includes the following steps:

[0041] S1. Determine the three-life space classification system within the city, and construct calculation indicators;

[0042] S2. Obtain land multi-source data, perform data processing and index calculation;

[0043] S3. Classify and identify the three-life space on the processed data, train and generate the three-life space classification model;

[0044] S4. Classify the three types of life in other spatial units in the entire research area according to the trained model;

[0045] S5. Analyze the spatial pattern of the three life forms in the study area.

[0046] The step S1 is specifically to classify multi-source data to obtain the classification and calculation indicators and calculation methods of life, production and ...

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Abstract

The invention discloses an urban three-student space identification and pattern analysis method based on multi-source data, and the method comprises the steps: determining a three-student space classification system in a city, and constructing a calculation index; obtaining remote sensing image data, POI quantity data and AOI area data, and carrying out data processing and index calculation; carrying out three-life space classification and identification on the processed data, and training and generating a three-life space classification model; predicting three-generation types of other space units in the whole research area according to the trained model; and carrying out three-generation spatial pattern analysis on the research area. Multi-source data is utilized, and a random forest method is adopted, so that the recognition is more accurate and rapid, and the credibility is high.

Description

technical field [0001] The invention belongs to the field of geographic information science and technology, and in particular relates to a method for urban three-life space identification and pattern analysis based on multi-source data. Background technique [0002] With the rapid growth of my country's economy and the increasing urbanization rate of the permanent population, the concept of three-life space is proposed, and the land space is divided into three categories: living space, production space and ecological space. In terms of classification and identification methods for the three-dimensional space, the current three-dimensional space identification methods are mainly divided into three types: one is the merged classification method, which recognizes by dividing the existing land use classification; the other is the quantitative measurement algorithm, which calculates the different spatial The functional value is used to classify them; the third is the data-driven ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q10/06G06Q50/26
CPCG06Q10/0639G06Q50/26G06F18/22G06F18/24323
Inventor 石岩张陈为赵冰冰邓敏
Owner CENT SOUTH UNIV
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