Rural landscape function area division method and system based on scale self-adaption

Abstract

The invention relates to a rural landscape function area division method and system based on scale self-adaption, and the method comprises the steps: obtaining rural landscape remote sensing image information, and carrying out the clustering analysis processing and landscape element classification, and obtaining a corresponding landscape element type; pixels of the same landscape element type in a set neighborhood range are combined to a landscape element object, and a shape stability index and a spatial diversity characteristic index of the landscape element object are calculated; generating an adjacent graph according to the landscape element objects, and calculating a function index between two adjacent target landscape element objects in the adjacent graph; and merging the landscape element objects based on a local feature scale adaptive method to obtain a merged landscape function area. According to the method, the cultural attributes of the rural landscape are objectively, detailedly and accurately evaluated from the perspective of features, the influence of human factors is avoided, the existing remote sensing classification method is effectively combined, the rural landscape function areas are efficiently and accurately divided, and the efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of landscape feature recognition and evaluation, in particular to a method and system for dividing rural landscape functional areas based on scale self-adaptation. Background technique [0002] In the process of urbanization in China, the protection and utilization of rural landscape resources have received relatively weak attention. But with the rapid expansion of urbanization, rural landscape has gradually become a new landscape element. The division of functional areas in the rural landscape is very important. How to identify the unique landscape type of a region and evaluate its characteristics is the premise and one of the main problems to be solved urgently for the protection and development of regional landscape characteristics under the current rural revitalization background. [0003] So far, the research on landscape feature identification and evaluation is relatively extensive, and the common me...

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Problems solved by technology

(1) Selecting natural and cultural factors as a reference will add visual aesthetic attributes such as landscape beauty and harmony to the parameters of landscape classification and evaluation, and these attributes often carry human subjective judgments on landscape quality, It cannot completely and truly reflect the objective existence of landscape features, and strictly speaking, it should not be used as an attribute of landscape feature evaluation

[0004] (2) Select natural attributes such as elevation, slope, topographic relief, soil parent material and land use / cover type as the main parameters for overlay analysis to identify landscape feature units , combined with the cluster analysis method to divide landscape feature types and regions, which effectively improves the accuracy of landscape classification boundary division and reduces the influence of human subjective factors, but the accuracy of landscape type boundary delineation is still worthy of further discussion

[0005]In previous studies, the division of rural landscape functional areas mostly relied on field survey data for artificial division. The results are largely influenced by human factors

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