形态特征引导的月表地理实体实景三维建模方法

doi:10.11947/j.AGCS.2026.20250490

测绘学报 ›› 2026, Vol. 55 ›› Issue (3): 525-535.doi: 10.11947/j.AGCS.2026.20250490

形态特征引导的月表地理实体实景三维建模方法

叶晨鸣¹^,²^,³(), 康志忠¹^,²^,³(), 才谨豪¹^,²^,³, 左秉正¹^,²^,³, 邵帅¹^,²^,³, 李彦¹^,²^,³

^1.中国地质大学（北京）土地科学技术学院，北京　100083
^2.中国地质大学（北京）河北省空天信息与智能化测绘重点实验室，北京　100083
^3.教育部深空探测联合研究中心月球与行星探测国际合作研究分中心，北京　100083

收稿日期:2025-11-19 修回日期:2025-12-30 出版日期:2026-04-16 发布日期:2026-04-16
通讯作者: 康志忠 E-mail:yechenming@email.cugb.edu.cn;zzkang@cugb.edu.cn
作者简介:叶晨鸣（1999—），男，博士生，研究方向为实景三维、月球与行星遥感。E-mail：yechenming@email.cugb.edu.cn
基金资助:
国家自然科学基金(62495033; 42371453)

A morphology-guided real-scene 3D modeling method of lunar geo-entities

Chenming YE¹^,²^,³(), Zhizhong KANG¹^,²^,³(), Jinhao CAI¹^,²^,³, Bingzheng ZUO¹^,²^,³, Shuai SHAO¹^,²^,³, Yan LI¹^,²^,³

^1.School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
^2.Hebei Key Laboratory of Aerospace Information and Intelligentized Surveying and Mapping, China University of Geosciences (Beijing), Beijing 100083, China
^3.Subcenter of International Cooperation and Research on Lunar and Planetary Exploration, Center of Space Exploration, Ministry of Education of the People's Republic of China, Beijing 100083, China

Received:2025-11-19 Revised:2025-12-30 Online:2026-04-16 Published:2026-04-16
Contact: Zhizhong KANG E-mail:yechenming@email.cugb.edu.cn;zzkang@cugb.edu.cn
About author:YE Chenming (1999—), male, PhD candidate, majors in real-scene 3D modeling and lunar and planetary remote sensing. E-mail: yechenming@email.cugb.edu.cn
Supported by:
The National Natural Science Foundation of China(62495033; 42371453)

摘要/Abstract

摘要：

随着深空探测任务持续推进，多源、高分辨率月球遥感数据不断积累，为月表形貌构造的精细化认知与智能解译提供了重要基础。然而，现有月球数据普遍存在组织分散、三维表达不足、实体粒度粗糙等问题，难以支撑科学分析与工程任务对高精度、可交互、可计算数字基底的需求。本文面向深空探测场景，将实景三维技术引入月表形貌构造建模，提出一种形态特征引导的月表构造实体化建模方法。本文方法构建基于形态的实体分类体系与空间身份编码机制，融合多源遥感数据实现实体语义属性与关系建模。针对月溪等线性构造边界模糊的问题，建立基于正交剖面形态梯度的半自动提取机制，通过地形曲率与坡度联合约束，实现线性构造实体的几何重构；针对撞击坑多层次结构，提出形态特征引导的自动剖分算法，结合坡度高程联合判别机制，实现撞击坑部件级精细化建模。以备选着陆区波得月溪区域为验证案例，试验结果表明，本文方法可高效构建高保真、结构化、语义丰富的月球实景三维模型，显著提升了月表构造的表达粒度。本文为深空探测数据的系统化组织、智能化处理与三维可视化提供了可推广的技术路径，推动了月球测绘向实体化、智能化和可计算方向发展。

关键词: 实景三维, 实体化建模, 深空探测, 月球遥感, 语义建模

Abstract:

With the continuous advancement of deep space exploration missions, an increasing volume of multi-source, high-resolution lunar remote sensing data has been accumulated, providing a solid foundation for fine-grained understanding and intelligent interpretation of lunar surface landforms. However, existing lunar datasets often suffer from fragmented organization, inadequate 3D representation, and coarse entity granularity, which hinder their ability to meet the demands of scientific analysis and engineering applications for high-precision, interactive, and computable digital foundations. To address these challenges, this study introduces real-scene 3D modeling techniques into lunar geomorphological modeling within deep space exploration contexts and proposes a morphology-guided, entity-based 3D modeling approach for lunar surface features. The method establishes a morphology-driven classification framework and a spatial identity coding mechanism, integrating multi-source remote sensing data to enable semantic attribute assignment and relational modeling of lunar entities. Addressing the issue of blurred boundaries in linear structures such as rimae, a semi-automatic extraction mechanism based on orthogonal profile morphological gradients is established. This method utilizes joint constraints of terrain curvature and slope to achieve the geometric reconstruction of linear entities. Furthermore, for the multi-layered structure of craters, a morphology-guided automatic subdivision algorithm combined with a slope-elevation joint discrimination strategy is proposed to achieve component-level refined modeling. The proposed approach is validated in the candidate landing area of Rima Bode, and experimental results demonstrate its effectiveness in efficiently constructing high-fidelity, structured, and semantically rich real-scene 3D models of the lunar surface, significantly enhancing the representational granularity of lunar landforms. This work provides a generalizable technical pathway for the systematic organization, intelligent processing, and 3D visualization of deep space exploration data, advancing lunar cartography toward entity-aware, intelligent, and computable capabilities.

Key words: real-scene 3D, entity-based modeling, deep space exploration, lunar remote sensing, semantic modeling

中图分类号:

P237

叶晨鸣, 康志忠, 才谨豪, 左秉正, 邵帅, 李彦. 形态特征引导的月表地理实体实景三维建模方法[J]. 测绘学报, 2026, 55(3): 525-535.

Chenming YE, Zhizhong KANG, Jinhao CAI, Bingzheng ZUO, Shuai SHAO, Yan LI. A morphology-guided real-scene 3D modeling method of lunar geo-entities[J]. Acta Geodaetica et Cartographica Sinica, 2026, 55(3): 525-535.

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网格等级	经度	纬度	典型实体尺度示例
1	90°	44°	月球正面背面、大型月海
2	6°	4°	撞击盆地、大型山脉
3	3°	2°	大型撞击坑、长月溪
4	1°	1°	典型月溪、皱脊
5	30′	30′	火山穹窿群、中央峰
6	15′	10′	单体火山穹窿、地堑
7	5′	5′	火山口
8	1′	1′	断崖、坑壁坍塌堆积
9	12″	12″	小型撞击坑
10	4″	4″	小型撞击坑
11	2″	2″	巨型岩块
12	1″	1″	着陆器
13	0.25″	0.25″	巡视器
14	0.05″	0.05″	采样点

实体类别	建模内容	实体数量	建模方式
大尺度撞击坑	几何建模包括撞击坑三维与拆分结构，物质成分图层；语义建模包括中心点坐标、直径、坑深、退化程度、主次撞击坑分类、物质成分含量等	3 7	自动识别结构剖分
简单撞击坑（≥100 m）	几何建模包括撞击坑三维与物质成分图层；语义建模包括中心点坐标、直径、坑深、坡度、退化程度、主次撞击坑分类、物质成分含量等	377	自动识别
月溪	几何建模包括月溪实体面、月溪中线、中心点。语义建模包括月溪长度，平均宽度、深度、坡度、物质成分含量等	1	人工建模算法优化
火山口	几何建模包括火山口三维与物质成分图层；语义建模包括火山口面积、边界、物质成分含量等	3	人工建模
火山穹窿	几何建模包括火山穹窿三维与物质成分图层；语义建模包括火山穹窿面积、边界、物质成分含量等	7	人工建模

形态特征引导的月表地理实体实景三维建模方法

A morphology-guided real-scene 3D modeling method of lunar geo-entities

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