Land use state prediction method, apparatus and system

A land and state technology, applied in the field of geographic information, can solve problems such as large errors and inaccurate prediction of land use state, and achieve the effect of solving inaccurate prediction and accurately predicting land use state.

Inactive Publication Date: 2017-09-22
YUNNAN NORMAL UNIV
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[0006] The embodiments of the present application provide a method, device and system for predicting land use statu...

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  • Land use state prediction method, apparatus and system
  • Land use state prediction method, apparatus and system
  • Land use state prediction method, apparatus and system

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[0075] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0076] Considering the existing prediction of land use status, most of them determine the conversion rules of the cellular automata model through ant colony algorithm, support vector machine, neural network and other algorithms, and then establish the corresponding cellular automata model to predict the land use status. status of use. Ho...

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Abstract

Embodiments of the invention provide a land use state prediction method, apparatus and system. The method comprises the steps of obtaining a predetermined type of image data of a target region, and generating a corresponding raster layer, wherein the raster layer at least comprises a plurality of geometric factor layers and a water body layer; according to the geometric factor layers, determining a third raster layer; training the third raster layer by utilizing a classification and regression tree to determine a development applicability probability; according to a constraint condition determined by the water body layer and the development applicability probability, building a cellular automaton model; and according to the cellular automaton model, predicting a land use state of the target region to obtain a prediction result. According to the scheme, the training is performed through the classification and regression tree to determine the development applicability probability, and the cellular automaton model is built according to the development applicability probability to predict the land use state, so that the technical problem of inaccurate prediction of the land use state in an existing method is solved.

Description

technical field [0001] This application relates to the technical field of geographic information, in particular to a method, device and system for predicting land use status. Background technique [0002] In land planning, in order to use land better and more effectively, it is often necessary to predict the future state of land use in the target area, and then carry out specific land use planning based on the prediction results. [0003] The existing prediction methods of land use status usually construct cellular automata models to simulate the specific process of urban land use evolution, and then predict the land use status. Specifically, for example, it is possible to predict whether a piece of land will become urban land in a few years. Or, the probability that a piece of land will become urban land in a few years. Wherein, the cellular automaton may specifically be a grid dynamics model in which state and space-time are all dispersed. [0004] In practice, the exis...

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Application Information

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IPC IPC(8): G06Q10/04G06N3/00
CPCG06N3/002G06Q10/04
Inventor 段平李佳姚永祥许泉立袁磊
Owner YUNNAN NORMAL UNIV
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