A Study on the Performance of Image Recognition Technology in Web GIS for Land Use Change Monitoring

被引：0

作者：

Wei, Rongnuan ^{[1
]}

Wei, Mulan ^{[1
]}

Zhang, Yongxia ^{[1
]}

Huang, Xiaohua ^{[1
]}

Liao, Cuihuan ^{[1
]}

机构：

[1] Department of Natural Resources Engineering, Guangxi Natural Resources Vocational and Technical College, Guangxi, Chongzuo

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Change monitoring; Land use; Land use motivation attitude; Remote sensing image;

D O I：

10.2478/amns-2024-2571

中图分类号：

学科分类号：

摘要：

In order to monitor land use change more accurately and rationally manage and utilize land resources, a GIS-based land use change monitoring method is proposed. Based on the satellite remote sensing images provided by the data processing module, the filtering and enhancement processing of land satellite remote sensing images has been completed. The classification module processes the remote sensing images and uses the multi-scale land use multi-categorization network to extract the land use classification results. Image recognition technology stratifies the scenes and images of the study area, utilizes GIS data and remote sensing images superimposed on each other, uses the internal GIS data as training samples, and transforms the various information existing in GIS to form a knowledge rate and a rule base, which is applied to the RS image classification and recognition process. The fastest rate of land use change in a city was found to be the construction land, with the highest rate of 0.1395%. The degree of utilization of arable land enters into a period of decline, and the unutilized land enters into a period of development. Through the change monitoring module, we can accurately monitor and calculate the dynamics of land use, the rate of change in the degree of utilization, and the results of the transfer matrix. © 2024 Rongnuan Wei, Mulan Wei, Yongxia Zhang, Xiaohua Huang and Cuihuan Liao, published by Sciendo.

引用

共 19 条

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