利用点云识别景观空间单元的物理和视觉围合

IF 1.6 4区 心理学 Q3 PSYCHOLOGY, EXPERIMENTAL Spatial Cognition and Computation Pub Date : 2020-05-22 DOI:10.1080/13875868.2020.1767625
Yijing Wang, Yuning Cheng, S. Zlatanova, E. Palazzo
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引用次数: 12

摘要

垂直围护无法描述景观空间围护的渗透性。确定物理和视觉围栏以弥补围栏认知的不足。物理围护反映了行为的限制,视觉围护体现了视野的延伸范围。提出并实现了一种基于点云数据的识别方法。映射多个框,并显示每个框的分布。根据垂直、物理和视觉围合的组织,总结了七种组合。通过量化围合特征的象限分布,定义了四种典型的物理和视觉围合模式。从识别到分布提取,再到典型类型识别,将描述性圈层转化为可识别的可计算量化的多重圈层。
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Identification of physical and visual enclosure of landscape space units with the help of point clouds
ABSTRACT Vertical enclosure is incapable of describing the permeation of landscape space enclosures. Physical and visual enclosures are identified to compensate for enclosure cognition inadequacies. Physical enclosures reflect the restriction of behavior, and visual enclosures embody the viewshed extension range. An identification method is proposed and implemented using point cloud data. Multiple enclosures are mapped, and the distribution of each enclosure is shown. Seven combinations are summarized based on the organization of vertical, physical, and visual enclosures. Four typical physical and visual enclosing modes are defined by the quadrant distribution of quantified enclosure features. From the identification to the distribution extraction and typical type identification, this research transforms descriptive enclosures into identifiable multiple enclosures that can be computed and quantified.
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来源期刊
Spatial Cognition and Computation
Spatial Cognition and Computation PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.40
自引率
5.30%
发文量
10
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