深度学习结合航拍影像的绿地空间分析

Green Space Analysis Using Deep Learning and Aerial Imagery

随着人口的迁移和环境的变化,生活在高度城市化地区的人们的健康问题受到了关注。人们的幸福指数与城市绿地的发展紧密相联,为了将人工智能技术应用于城市绿地空间的发展状况评估,本文研究将深度学习结合航拍影像的绿地空间分析方法,研究结果对于优化城市资源管理与科学决策具有重要的意义。

With the migration of population and the change of environment,the health problems of people living in highly urbanized areas have been concerned.People's happiness index is closely related to the development of urban green space.In order to apply artificial intelligence technology to the evaluation of the development of urban green space,this paper studies the green space analysis method combining in-depth learning with aerial images.The research results are of great significance for optimizing urban resource management and scientific decision-making.