Land use zoning method giving consideration to geographic entity semantic similarity

Abstract

The invention relates to a land use zoning method giving consideration to geographic entity semantic similarity. The land use zoning method includes inputting a basic land use zone database, iterating and extracting small picture spots and sequencing the picture spots, partitioning modes of the small picture spots and integrating in consideration of the geographic entity semantic similarity, determining land use zones according to a land use zoning method after semantic change value integrated is minimum, extracting boundary lines of the integrated picture spots and generating land use zoning pictures. Geographic entity semantic similarity is sufficiently utilized, the efficient and automatic land use zoning method is formed and scientificity, rationality and operability of land use zoning are improved.

Description

technical field [0001] The invention belongs to the field of land use planning, and in particular relates to a land use division method considering the semantic similarity of geographical entities. Background technique [0002] Land use zoning is the core issue of land use planning, and it is also the premise and key content of the optimal allocation of land use space. In practical application, land use zoning provides a basis for the regulation and management of land use. International research on land use zoning originated in Germany at the end of the 19th century, adopted by the United States in the 20th century, and later adopted in Australia, Japan, South Korea and other countries. Since the late 1990s in my country, according to the strategic needs of the country to protect cultivated land, the country is the first Then, the revision of the overall land use plan was carried out, and the land use zoning and control rules in the planning plan were proposed for the first ...

AI Technical Summary

Problems solved by technology

[0004] However, due to the complexity of land use, the land use system is a complex system of land ecology and economy involving nature, society, and economy. Simply applying mathematical models or intelligent algorithms to land use zoning has complex calculations, difficult to understand results, and difficult to obtain. Good partition effect, lack of technical solutions for automatic realization

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