基于深度学习的风景名胜区视觉注意力识别与优化

肖 志桓, 路 毅
东北林业大学园林学院

摘要


针对传统穿戴式眼动仪在户外大尺度景观研究中样本量受限、环境适应性差的短板，引入3M-VAS深度学
习模型，以岳麓山风景名胜区5个典型节点为实证对象，基于11，485张社交媒体UGC图像构建“物理空间—视觉
感知”耦合分析框架。通过SegFormer语义分割与视觉注意力指数（AI）量化计算，识别出高密度节点“人群抢占视
线”、人文节点“设施视觉噪声”、开敞节点“缺乏视觉锚点”三类典型问题。据此提出“视觉减法、语义提纯、视
觉加法”的差异化微更新策略。研究表明，仅需对占物理空间5%~10%的关键要素进行微调，即可显著重构注意力资
源配置，实现从“视觉混乱”到“视觉秩序”的系统性优化。

关键词


3M-VAS；眼动预测；视觉注意力指数；景观优化；岳麓山；社交媒体大数据

全文:

PDF


参考


[1]LIU R, NEISCH P. Measuring the effectiveness of street

renewal design: Insights from visual preference surveys, deeplearning technology, and eye-tracking simulation software[J].

Landscape and Urban Planning, 2025, 256: 105291.

[2]SALINGAROS N A, SUSSMAN A. Visual Attention

Software: A new tool for understanding the "subliminal"

experience of the built environment[J]. Applied Sciences,

2021, 11(13): 6197.

[3]XIE E, WANG W, YU Z, et al. SegFormer: Simple

and Efficient Design for Semantic Segmentation with

Transformers[C]//Advances in Neural Information Processing

Systems (NeurIPS). 2021, 34: 12077-12090.

[4]DA SILVA N B, HARRISON J, MINETTO R,

et al. Multimodal LLMs See Sentiment?[J]. arXiv preprint

arXiv:2508.16873, 2025.

[5]ROMBACH R, BLATTMANN A, LORENZ D,

et al. High-Resolution Image Synthesis with Latent Diffusion

Models[C]//Proceedings of the IEEE/CVF Conference on

Computer Vision and Pattern Recognition (CVPR). 2022:

10684-10695.

[6]ZHANG F, SALAZAR-MIRANDA A, DUARTE

F, et al. Urban Visual Intelligence: Studying Cities with Artificial

Intelligence and Street-Level Imagery[J]. Annals of the American

Association of Geographers, 2024, 114(2): 345-364.

[7]MO S, DAI Z, WEN Y. Study on rural landscape

design strategies integrating computer vision and deep

learning: an analysis based on human perception and visual

aesthetics[J]. Scientific Reports, 2025, 15: 35722.

[8]ITTI L, KOCH C, NIEBUR E. A Model of

Saliency-Based Visual Attention for Rapid Scene Analysis[J].

IEEE Transactions on Pattern Analysis and Machine

Intelligence, 1998, 20(11): 1254-1259.

[9]ZUBE E H, SELL J L, TAYLOR J G. Landscape

perception: Research, application and theory[J]. Landscape

Planning, 1982, 9(1): 1-33.

[10]CORBETTA M, SHULMAN G L. Control of

goal-directed and stimulus-driven attention in the brain[J].

Nature Reviews Neuroscience, 2002, 3(3): 201-215.


Refbacks

  • 当前没有refback。