IJSEA Volume 12 Issue 8

Dynamic Evolution Model of Rural Tourism Trend Based on High-Resolution Remote Sensing Image Mining

Zhang Deping
10.7753/IJSEA1208.1051
keywords : Dynamic Evolution Model, Rural Tourism Trend , High-Resolution, Remote Sensing Image Mining

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Based on the in-depth analysis of the research status of association rule mining technology, the paper selects high spatial resolution remote sensing images to carry out image association rule mining research. Rural tourism mainly helps by promoting employment, driving industry, improving supporting facilities, and promoting environmental protection. On-site urbanization is realized; on-site urbanization drives the development of rural tourism through the advancement of population, economy, society and ecology. The evolution process of my country's rural tourism development policy is roughly divided into four stages, the evolution law and characteristics of my country's rural tourism policy and the development trend of my country's rural tourism are analyzed, and the nonlinear weighted kernel function and guide image of generalized guided filtering are estimated respectively. The experimental results show that the method can effectively suppress the speckle noise in the simulation and actual acquisition of high-resolution SAR images.
@artical{z1282023ijsea12081051,
Title = "Dynamic Evolution Model of Rural Tourism Trend Based on High-Resolution Remote Sensing Image Mining",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "12",
Issue ="8",
Pages ="161 - 163",
Year = "2023",
Authors ="Zhang Deping"}