Sampling point distribution method and device based on landscape heterogeneity and electronic equipment

Abstract

The invention provides a sampling point distribution method and device based on landscape heterogeneity and electronic equipment, and the method comprises the steps of collecting a satellite remote sensing image of a target region, and carrying out the clustering processing, and obtaining a land cover clustering result map of the target region; based on landscape heterogeneity of a target area, dividing the land cover clustering result map into a plurality of grids according to a first preset rule, the plurality of grids being congruent square grids; based on the landscape heterogeneity of the corresponding area in each grid, determining sampling points distributed in each grid according to a second preset rule, wherein the landscape heterogeneity is described by different indexes in the first preset rule and the second preset rule. According to the method, the device and the electronic equipment provided by the invention, the distribution of the sampling points is controlled, the sampling cost is reduced, and the sampling efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a sampling point allocation method, device and electronic equipment based on landscape heterogeneity. Background technique [0002] Land cover classification mapping using remote sensing satellite data has been widely studied and used to produce land cover products. At present, a series of extensive studies have also been carried out on land cover accuracy assessment obtained from remote sensing image classification, including sampling design, reference data collection and statistical analysis, etc. The sampling design is used to obtain the distribution of the accuracy evaluation test set. These test sets used to evaluate the classification accuracy play a very important role in the accuracy evaluation. The sampling design method must be considered in the accuracy evaluation. A sample can reflect the statistical characteristics of an area and is a subset or part of an are...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a sampling point allocation method, device and electronic equipment based on landscape heterogeneity to solve the problems of high cost, high resource consumption and low sampling efficiency in the existing sampling technology. The remote sensing image is clustered to obtain the land cover clustering result map of the target area, and then based on the landscape heterogeneity of the target area, a square grid pair with an appropriate size is selected for the land cover clustering result map. Based on the landscape heterogeneity of the target area, the number of sampling points is assigned to each grid, which realizes grid division sampling, and the distribution of high landscape heterogeneity areas is more than that of landscape heterogeneity. Sampling points in low-risk areas, the geographical grid division of the land cover cluster map through landscape heterogeneity can control the distribution of sampling points, reduce the frequency of repeated sampling points in similar areas, and improve sampling efficiency. Effective cost reduction through geographic meshing

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