RETRACTED ARTICLE: Image simulation of urban landscape in coastal areas based on geographic information system and machine learning

Studying the changes in the landscape pattern of coastal cities and analyzing their land use conditions are conducive to understanding the internal structure of the city and in-depth analysis of the law of urban development, so as to propose governance measures and improvement methods in the aspects of economy, people's livelihood, and environment. Based on geographic information system and machine learning technology, this paper analyzes the internal mechanism, temporal and spatial characteristics and change laws of the intensive use of sea areas. The selection of research scale is in the exploratory stage, which is based on the research scale of land intensive use. Moreover, this paper combines landscape ecology to construct a coastal city landscape image simulation system and uses remote sensing technology to analyze the system model. Finally, this paper analyzes the performance of the coastal city landscape image simulation system constructed in this paper through experimental analysis. From the research results, the system constructed in this paper basically meets the needs of coastal city landscape image simulation.