Urban landscape perception is essential for understanding the interaction between individuals and the built environment, impacting urban space quality improvement. This study bridges the gap in comprehending the mechanisms, processes, and content of landscape perception that previous studies have not fully addressed. By integrating urban landscape studies with the biological vision process, a new theoretical framework is proposed, which includes an index system with 4 dimensions: color features, landscape elements, spatial forms, and landscape imagery, consisting of 30 indicators. Furthermore, a novel method leveraging Large Vision Models for color analysis, semantic segmentation, object detection, and depth prediction is introduced. This method allows for the accurate extraction of objective features of urban landscapes and uses the Random Forest to analyze the nonlinear relationships between objective features and subjective perceptions. An empirical study conducted in Chongqing demonstrates that color features and spatial forms significantly influence landscape perception, similar to the landscape elements. Moreover, ablation experiments demonstrate that our approach, based on the biological vision process, improves accuracy and fit compared to existing methods. This study elucidates crucial factors affecting landscape perception, refines and generalizes perception methods, and aids planners in navigating complex scenarios, contributing to the practical application and widespread adoption of landscape perception in urban planning.

中文翻译：

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一种基于生物视觉过程的城市景观感知新方法


城市景观感知对于理解个人与建筑环境之间的互动至关重要，从而影响城市空间质量的改善。本研究弥合了以前的研究尚未完全解决的景观感知机制、过程和内容的差距。通过将城市景观研究与生物视觉过程相结合，提出了一个新的理论框架，其中包括一个由 30 个指标组成的 4 个维度的指标系统：色彩特征、景观元素、空间形态和景观意象。此外，还介绍了一种利用大型视觉模型进行颜色分析、语义分割、对象检测和深度预测的新方法。该方法允许准确提取城市景观的客观特征，并使用随机森林来分析客观特征与主观感知之间的非线性关系。在重庆进行的一项实证研究表明，与景观元素类似，颜色特征和空间形式对景观感知有显著影响。此外，消融实验表明，与现有方法相比，我们基于生物视觉过程的方法提高了准确性和拟合度。本研究阐明了影响景观感知的关键因素，完善和推广了感知方法，并帮助规划者驾驭复杂的场景，有助于景观感知在城市规划中的实际应用和广泛采用。