针对大规模建筑区域的卫星摄影测量点云优化方法
By performing layered filtering, individualization processing, and mesh projection restoration on satellite photogrammetric point clouds, the problem of insufficient information on the sides of buildings in densely populated urban areas was solved, thus improving the accuracy and visual effect of the 3D model.
CN120451007BActive Publication Date: 2026-07-17CHANGGUANG SATELLITE TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGGUANG SATELLITE TECH CO LTD
- Filing Date
- 2025-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Photogrammetric point clouds generated from satellite imagery struggle to capture complete side profile information of buildings in densely populated urban areas, leading to geometric distortion and reduced texture mapping quality in 3D models, and resulting in low efficiency for manual processing.
Method used
By using hierarchical filtering and individualized processing of building targets, combined with facade removal and roof constraints, Euclidean clustering and grid projection are used to repair ground voids and optimize satellite photogrammetry point clouds.
Benefits of technology
It improves the accuracy and aesthetics of 3D models of large-scale building areas, simplifies the processing flow, and enhances the efficiency of automated processing.
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Smart Images
Figure CN120451007B_ABST
Abstract
针对大规模建筑区域的卫星摄影测量点云优化方法。属于遥感测绘技术领域，具体涉及针对大规模建筑区域的卫星摄影测量点云优化方法技术领域，通过对点云进行分层滤波与单体化，对建筑物目标进行立面去除与屋顶约束，并通过格网离散化的方式来修复地面空洞，实现了大规模建筑区域的卫星摄影测量点云优化。所述方法包括如下步骤：S1、基于立体像对，生成摄影测量点云集并将分割为地面点集和非地面点集S2、对采用欧式聚类实现建筑物单体化：S3、基于独立的建筑物对象进行立面去除；S4、基于建筑物轮廓矢量约束屋顶冗余点；S5、基于网格投影修复地面空洞，得到最终点云集
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