Method and system for classification and recognition of urban construction land based on big data
A technology for urban construction, classification and recognition, applied in the field of big data processing, can solve the problems of low recognition speed and low recognition accuracy, and achieve the effect of improving the accuracy of classification and recognition, reducing the amount of data calculation, and improving the efficiency of classification and recognition
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Embodiment 1
[0051] Such as figure 1 As shown, the application provides a method for classifying and identifying urban construction land based on big data, which method includes the following steps:
[0052]In step S1, the urban construction land to be classified and identified is divided into multiple grids with roads as boundaries.
[0053] Step S2, acquiring network characteristic data of each grid.
[0054] Obtaining network characteristic data in each grid includes: obtaining land cover data and population data.
[0055] Obtain the land cover data in the grid according to the GIS geographic information system or extract the land cover data from the Baidu open platform according to the keyword extraction method, and obtain the population data in the grid according to the registered addresses of the resident population and floating population.
[0056] Among them, the land cover data includes the types of land cover and the corresponding quantity and land area of each type of land c...
Embodiment 2
[0092] Such as Figure 4 As shown, the present application also provides a big data-based urban construction land classification and recognition system 100, which includes:
[0093] The grid division module 10 is used to divide the urban construction land to be classified and identified into a plurality of grids with the road as the boundary;
[0094] Obtaining module 20, for obtaining the network feature data of each grid;
[0095] The similar grid merging module 30 is used to continuously calculate the feature similarity value of two adjacent grids according to the network feature data, and merge two adjacent grids whose feature similarity value exceeds a preset threshold until it cannot be merged, Form a new plot grid;
[0096] Calculation module 40, for calculating classification data according to the ground cover data and population data of new plot grid;
[0097] The identifying category module 50 is configured to classify the new plot grids to be classified and ident...
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