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

doi:10.11947/j.AGCS.2026.20250490

Abstract

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

CLC Number:

P237

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