3D POINT CLOUD COMPLETION USING TERRAIN-CONTINUOUS CONSTRAINTS AND DISTANCE-WEIGHTED INTERPOLATION FOR LUNAR TOPOGRAPHIC MAPPING

被引:1
作者
Xu, S. [1 ]
Huang, R. [1 ,2 ]
Xu, Y. [1 ,2 ]
Ye, Z. [1 ,2 ]
Xie, H. [1 ,2 ]
Tong, X. [1 ,2 ]
机构
[1] Tongji Univ, Coll Surveying & Geoinformat, Shanghai, Peoples R China
[2] Shanghai Key Lab Space Mapping & Remote Sensing P, Shanghai, Peoples R China
来源
GEOSPATIAL WEEK 2023, VOL. 48-1 | 2023年
基金
中国国家自然科学基金;
关键词
Point Cloud Completion; Topographic Mapping; Lunar Exploration; MULTIVIEW RANGE; FUSION; IMAGES;
D O I
10.5194/isprs-archives-XLVIII-1-W2-2023-771-2023
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
Stereo vision has been proven to be an efficient tool for 3D reconstruction in lunar topographic mapping. However, point clouds reconstructed from pairs of stereo images always suffer from occlusions and illumination changes, especially in Lunar environments, resulting in incomplete geometric information. 3D point cloud completion is usually required for refining photogrammetric point clouds and enabling further applications. In this work, we address the problem of completing and refining 3D photogrammetric point clouds based on the assumption that 3D terrain should be continuous and with consistent slope change. We proposed a generalized strategy for 3D point cloud completion of lunar topographic mapping, including distance-weighted point cloud interpolation, terrian-continuous constrained outlier detection, and contour-based hole filling. We carried out experiments on two datasets of point clouds generated from 12 pairs and 6 pairs of stereo LROC NAC images covering the Apollo 17 and the Chang'E-4 landing sites, respectively. As a result, the holes in the initial DTM have been smoothly filled and the completeness of the whole DTM has been greatly improved. The incomplete area of the experimental areas has dropped by 100% and 93%, respectively. Finally, we constructed DTM with a resolution of 10 m covering a 33 km x 60 km area of the Apollo 17 landing site with RMSE of 4 m and a 12 km x 56 km area of Chang'E-4 landing site with RMSE of 4 m compared with LOLA laser points as a reference.
引用
收藏
页码:771 / 776
页数:6
相关论文
共 32 条
[1]   UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS [J].
Bagheri, H. ;
Schmitt, M. ;
Zhu, X. X. .
ISPRS HANNOVER WORKSHOP: HRIGI 17 - CMRT 17 - ISA 17 - EUROCOW 17, 2017, 42-1 (W1) :433-439
[2]  
Balta H., 2018, IFAC-PapersOnLine, V51, P348, DOI DOI 10.1016/J.IFACOL.2018.11.566
[3]  
Banu R.S., 2011, P NAT C EM TRENDS CO, P291
[4]  
Berger M, 2014, 35 ANN C EUR ASS COM
[5]   The Ames Stereo Pipeline: NASA's Open Source Software for Deriving and Processing Terrain Data [J].
Beyer, Ross A. ;
Alexandrov, Oleg ;
McMichael, Scott .
EARTH AND SPACE SCIENCE, 2018, 5 (09) :537-548
[6]  
Curless B., 1996, Computer Graphics Proceedings. SIGGRAPH '96, P303, DOI 10.1145/237170.237269
[7]   Filling holes in complex surfaces using volumetric diffusion [J].
Davis, J ;
Marschner, SR ;
Garr, M ;
Levoy, M .
FIRST INTERNATIONAL SYMPOSIUM ON 3D DATA PROCESSING VISUALIZATION AND TRANSMISSION, 2002, :428-438
[8]   High-resolution DEM generation from spaceborne and terrestrial remote sensing data for improved volcano hazard assessment - A case study at Nevado del Ruiz, Colombia [J].
Deng, Fanghui ;
Rodgers, Mel ;
Xie, Surui ;
Dixon, Timothy H. ;
Charbonnier, Sylvain ;
Gallant, Elisabeth A. ;
Lopez Velez, Cristian Mauricio ;
Ordonez, Milton ;
Malservisi, Rocco ;
Voss, Nicholas K. ;
Richardson, Jacob A. .
REMOTE SENSING OF ENVIRONMENT, 2019, 233
[9]   Co-registration of Chang'E-1 stereo images and laser altimeter data with crossover adjustment and image sensor model refinement [J].
Di, Kaichang ;
Hu, Wenmin ;
Liu, Yiliang ;
Peng, Man .
ADVANCES IN SPACE RESEARCH, 2012, 50 (12) :1615-1628
[10]  
HANNAH MJ, 1981, PHOTOGRAMM ENG REM S, V47, P63