尽管已有研究评估了视觉空间指标与城市居民心理感知之间的关系，但关于城市视觉空间与居民心理感知之间系统性关联的研究仍较为稀缺。本研究旨在探讨城市视觉空间与居民心理感知之间的相关性，分析视觉空间指标对居民主观感知的影响，并重点关注蓝绿空间在可步行性、围合度、开放性、形象性及交通流量等机制下对城市居民心理影响的作用。研究采用全卷积网络（FCN-8s）对武汉的街景图像进行分割，通过人机对抗框架与随机森林算法结合构建城市感知数据集。基于街景数据，设计七类视觉空间指标，以上述五项视觉空间指标为中介变量，对城市居民感知进行多元线性回归分析，并开展蓝绿空间对居民心理影响的中介效应分析。结果表明，城市视觉空间指标与居民心理感知之间存在显著关联，其中绿度与围合度等视觉空间指标对居民心理感知具有显著影响，且部分视觉空间指标在蓝绿空间影响居民心理的过程中发挥显著中介作用。本研究系统分析了视觉空间指标与居民心理感知之间的关系及其作用机制，为深入探索复杂城市环境中的心理响应机制提供了前瞻性基础。

Although previous studies have assessed the relationships between visual space indicators and urban residents' psychological perceptions, systematic research on the relationship between the urban visual space and residents' psychological perceptions is still rare. The purpose of this study is to explore the correlation between the urban visual space and residents' psychological perceptions, analyze the influence of visual space indicators on residents' subjective perceptions, and focus on whether blue-green space is influenced by walkability, enclosure, openness, imageability, and traffic flow in the mechanism of its effect on urban residents' psychology. In this study, the Fully Convolutional Network (FCN-8s) is used to segment the street view images of Wuhan. An urban perception data set is obtained by coupling the human-machine adversarial framework and the Random Forest algorithm. Based on the street view data, we design seven kinds of visual space indicators. We conduct multiple linear regression analysis on urban residents' perceptions and the mediating effect analysis of blue-green space on residents' psychology using the above five visual space indicators as mediator. The results show that there is a strong relationship between the urban visual space indicators and residents' psychological perceptions, the visual space indicators such as greenness and enclosure have a strong influence on residents' psychological perceptions and significant mediating effects of some visual space indicators occur in the process of blue-green space influencing residents' psychology. This study comprehensively analyzes the relationship and mechanism between visual space indicators and residents’ psychological perception, and makes forward-looking work to further explore the complex mechanisms between visual space and residents’ psychology.