一种景观空间质量评估方法、装置、终端及介质

By acquiring and processing 3D point cloud data, performing segmentation, vegetation structure extraction and voxelization, and calculating visually relevant indicators, the problem of the inability to assess the visual landscape quality of ecological space in existing technologies has been solved, and a comprehensive expression of ecological processes has been achieved.

CN121708308BActive Publication Date: 2026-07-17HARBIN INSTITUTE OF TECHNOLOGY (SHENZHEN) (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN INSTITUTE OF TECHNOLOGY (SHENZHEN) (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)
Filing Date
2025-12-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot capture three-dimensional ecological structures, making it impossible to accurately assess the visual landscape quality of ecological spaces.

Method used

By acquiring 3D point cloud data of the area to be evaluated, segmentation and vegetation structure extraction are performed, which is then converted into voxel meshes. Voxel-related indicators are extracted, and 3D visual simulation is conducted to calculate visual-related indicators, ultimately determining the landscape quality assessment results.

Benefits of technology

It effectively solves the problem that existing technologies cannot capture three-dimensional ecological structures, and enables accurate assessment of the visual landscape quality of ecological spaces.

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Abstract

本发明公开了一种景观空间质量评估方法、装置、终端及介质,涉及景观视觉分析领域,所述方法通过根据待评估区域的三维点云数据确定原始场景点云;对原始场景点云进行分割和植被结构提取,确定各分割场景点云;将各分割场景点云转化为体素网格,确定各分割场景点云,基于各分割场景点云提取体素相关指标;对各分割场景点云进行三维视觉模拟,计算视觉相关指标;根据体素相关指标和视觉相关指标确定景观质量评估结果。本发明基于待评估区域的三维点云数据提取体素相关指标和视觉相关指标来进行景观质量评估,因此可以有效地解决现有技术无法捕捉三维生态结构,对生态过程的表达能力有限,导致无法准确评估生态空间的视觉景观质量的问题。
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