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RETRACTED ARTICLE: Image simulation of urban landscape in coastal areas based on geographic information system and machine learning

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This article was retracted on 12 December 2022

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Abstract

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.

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Acknowledgements

This work was supported by JW Discussion on the application of ecological roads to disaster prevention and reduction in Macau, project No. MF1908 (Macau Foundation Scientific Research Project), A study on the process of environmental color identification in Macau's historic urban areas from 2020 to 2021 with eye movement path (research project funded by Macau Foundation) and Research on the evolution of living space in Macau's historical urban area under space syntax, Project No.: 2021ZB03 (open project of State Key Laboratory of Subtropical Building Science).

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Authors and Affiliations

  1. College of Fine Arts, Guangdong Polytechnic Normal University, GaungZhou, 528000, Guangdong, China

    Junling Zhou

  2. Faculty of Innovation and Design, City University of Macau, Macau, 999078, China

    Junling Zhou & Pohsun Wang

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  1. Junling Zhou
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  2. Pohsun Wang
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Correspondence to Pohsun Wang.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s00521-022-08145-w

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Zhou, J., Wang, P. RETRACTED ARTICLE: Image simulation of urban landscape in coastal areas based on geographic information system and machine learning. Neural Comput & Applic 34, 9397–9411 (2022). https://doi.org/10.1007/s00521-021-06335-6

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