{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:39:57Z","timestamp":1760146797391,"version":"build-2065373602"},"reference-count":44,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2024,12,7]],"date-time":"2024-12-07T00:00:00Z","timestamp":1733529600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42241147","SKLGIE2021-Z-3-1","LabSOMP-2023-07","2023C002"],"award-info":[{"award-number":["42241147","SKLGIE2021-Z-3-1","LabSOMP-2023-07","2023C002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011354","name":"State Key Laboratory of Geo-Information Engineering","doi-asserted-by":"publisher","award":["42241147","SKLGIE2021-Z-3-1","LabSOMP-2023-07","2023C002"],"award-info":[{"award-number":["42241147","SKLGIE2021-Z-3-1","LabSOMP-2023-07","2023C002"]}],"id":[{"id":"10.13039\/501100011354","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Space Optoelectronic Measurement and Perception Lab, Beijing Institute of Control Engineering","award":["42241147","SKLGIE2021-Z-3-1","LabSOMP-2023-07","2023C002"],"award-info":[{"award-number":["42241147","SKLGIE2021-Z-3-1","LabSOMP-2023-07","2023C002"]}]},{"name":"Open Program of Collaborative innovation Center of Geolnformation Technology for Smart Central Plains Henan Province","award":["42241147","SKLGIE2021-Z-3-1","LabSOMP-2023-07","2023C002"],"award-info":[{"award-number":["42241147","SKLGIE2021-Z-3-1","LabSOMP-2023-07","2023C002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Planetary photogrammetry remains an important technical means of producing high-precision planetary maps. High-quality control networks are fundamental to successful bundle adjustment. However, current software tools used by the planetary mapping community to construct and edit control networks exhibit very low efficiency. Moreover, redundant and invalid control points in the control network can further increase the time required for the bundle adjustment process. Due to a lack of targeted algorithm optimization, existing software tools and methods are unable to meet the photogrammetric processing requirements of massive planetary remote sensing images. To address these issues, we first proposed an efficient control network construction framework based on approximate orthoimage matching and hash quick search. Next, to effectively reduce the redundant control points in the control network and decrease the computation time required for bundle adjustment, we then proposed a control network-thinning algorithm based on a K-D tree fast search. Finally, we developed an automatic detection method based on ray tracing for identifying invalid control points in the control network. To validate the proposed methods, we conducted photogrammetric processing experiments using both the Lunar Reconnaissance Orbiter (LRO) narrow-angle camera (NAC) images and the Origins Spectral Interpretation Resource Identification Security Regolith Explorer (OSIRIS-REx) PolyCam images; we then compared the results with those derived from the famous open-source planetary photogrammetric software, the United States Geological Survey (USGS) Integrated Software for Imagers and Spectrometers (ISIS) version 8.0.0. The experimental results demonstrate that the proposed methods significantly improve the efficiency and quality of constructing control networks for large-scale planetary images. For thousands of planetary images, we were able to speed up the generation and editing of the control network by more than two orders of magnitude.<\/jats:p>","DOI":"10.3390\/rs16234600","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T10:11:47Z","timestamp":1733739107000},"page":"4600","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images"],"prefix":"10.3390","volume":"16","author":[{"given":"Xin","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng 475004, China"},{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Chun","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Xun","family":"Geng","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Sifen","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Transportation Science and Engineering, Beihang University, Beijing 100191, China"},{"name":"Beijing Institute of Control Engineering, Beijing 100090, China"}]},{"given":"Tao","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Institute of Control Engineering, Beijing 100090, China"}]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Pengying","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Jiujiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Qiudong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Henan University, Kaifeng 475004, China"},{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Yuying","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Yinhui","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]},{"given":"Zhen","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Henan University, Kaifeng 475004, China"},{"name":"State Key Laboratory of Geo-Information Engineering, Xi\u2019an 710054, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.epsl.2009.11.007","article-title":"Topography of Mars from Global Mapping by HRSC High-Resolution Digital Terrain Models and Orthoimages: Characteristics and Performance","volume":"294","author":"Gwinner","year":"2010","journal-title":"Earth Planet. Sci. Lett."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"247","DOI":"10.14358\/PERS.86.4.247","article-title":"Topographic and Geomorphological Mapping and Analysis of the Chang\u2019E-4 Landing Site on the Far Side of the Moon","volume":"86","author":"Wu","year":"2020","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"415","DOI":"10.14358\/PERS.85.6.415","article-title":"CNN-Based Dense Image Matching for Aerial Remote Sensing Images","volume":"85","author":"Ji","year":"2019","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1145\/3503250","article-title":"NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis","volume":"65","author":"Mildenhall","year":"2022","journal-title":"Commun. ACM"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Pumarola, A., Corona, E., Pons-Moll, G., and Moreno-Noguer, F. (2021, January 20\u201325). D-NeRF: Neural Radiance Fields for Dynamic Scenes. Proceedings of the 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA.","DOI":"10.1109\/CVPR46437.2021.01018"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"139:1","DOI":"10.1145\/3592433","article-title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering","volume":"42","author":"Kerbl","year":"2023","journal-title":"ACM Trans. Graph. (SIGGRAPH)"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.isprsjprs.2024.04.029","article-title":"Neural Implicit Shape Modeling for Small Planetary Bodies from Multi-View Images Using a Mask-Based Classification Sampling Strategy","volume":"212","author":"Chen","year":"2024","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"271","DOI":"10.5194\/isprs-archives-XLII-3-271-2018","article-title":"High Resolution Seamless Dom Generation Over Chang\u2019e-5 Landing Area Using Lroc Nac Images","volume":"XLII\u20133","author":"Di","year":"2018","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"357","DOI":"10.5194\/isprs-archives-XLI-B4-357-2016","article-title":"Spice Tools Supporting Planetary Remote Sensing","volume":"XLI-B4","author":"Acton","year":"2016","journal-title":"ISPRS\u2014Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1029\/2019EA000646","article-title":"A Generic Pushbroom Sensor Model for Planetary Photogrammetry","volume":"6","author":"Geng","year":"2019","journal-title":"Earth Space Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/s11214-009-9512-y","article-title":"The Lunar Orbiter Laser Altimeter Investigation on the Lunar Reconnaissance Orbiter Mission","volume":"150","author":"Smith","year":"2010","journal-title":"Space Sci. Rev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"203","DOI":"10.5194\/isprsannals-I-4-203-2012","article-title":"Jigsaw: The ISIS3 Bundle Adjustment for Extraterrestrial Photogrammetry","volume":"I\u20134","author":"Edmundson","year":"2012","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Kim, J., Lin, S.-Y., and Xiao, H. (2023). Remote Sensing and Data Analyses on Planetary Topography. Remote Sens., 15.","DOI":"10.3390\/rs15122954"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2006JE002808","DOI":"10.1029\/2006JE002808","article-title":"Context Camera Investigation on Board the Mars Reconnaissance Orbiter","volume":"112","author":"Malin","year":"2007","journal-title":"J. Geophys. Res. Planets"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"e2019EA001054","DOI":"10.1029\/2019EA001054","article-title":"Fully Controlled 6 Meters per Pixel Mosaic of Mars\u2019s South Polar Region","volume":"7","author":"Robbins","year":"2020","journal-title":"Earth Space Sci."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Liu, P., Geng, X., Li, T., Zhang, J., Wang, Y., Peng, Z., Wang, Y., Ma, X., and Wang, Q. (2024). The Generation of High-Resolution Mapping Products for the Lunar South Pole Using Photogrammetry and Photoclinometry. Remote Sens., 16.","DOI":"10.3390\/rs16122097"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2731","DOI":"10.1109\/JSTARS.2023.3346199","article-title":"Large-Scale Block Bundle Adjustment of LROC NAC Images for Lunar South Pole Mapping Based on Topographic Constraint","volume":"17","author":"Chen","year":"2024","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/s11214-010-9634-2","article-title":"Lunar Reconnaissance Orbiter Camera (LROC) Instrument Overview","volume":"150","author":"Robinson","year":"2010","journal-title":"Space Sci. Rev."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1007\/s11214-007-9153-y","article-title":"Lunar Reconnaissance Orbiter Overview: The Instrument Suite and Mission","volume":"129","author":"Chin","year":"2007","journal-title":"Space Sci. Rev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2088","DOI":"10.1126\/science.289.5487.2088","article-title":"NEAR at Eros: Imaging and Spectral Results","volume":"289","author":"Veverka","year":"2000","journal-title":"Science"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"925","DOI":"10.1007\/s11214-017-0405-1","article-title":"OSIRIS-REx: Sample Return from Asteroid (101955) Bennu","volume":"212","author":"Lauretta","year":"2017","journal-title":"Space Sci. Rev."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"The OSIRIS-REx Team, Barnouin, O.S., Daly, M.G., Palmer, E.E., Gaskell, R.W., Weirich, J.R., Johnson, C.L., Al Asad, M.M., Roberts, J.H., and Perry, M.E. (2019). Shape of (101955) Bennu Indicative of a Rubble Pile with Internal Stiffness. Nat. Geosci., 12, 247\u2013252.","DOI":"10.1038\/s41561-019-0330-x"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"105945","DOI":"10.1016\/j.pss.2024.105945","article-title":"Investigation and Cartographic Representation of Hyperion Space Images Photogrammetric Processing Results","volume":"249","author":"Sokolov","year":"2024","journal-title":"Planet. Space Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.isprsjprs.2015.09.005","article-title":"Recent Developments in Large-Scale Tie-Point Matching","volume":"115","author":"Hartmann","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/s11214-021-00832-9","article-title":"China\u2019s Mars Exploration Mission and Science Investigation","volume":"217","author":"Li","year":"2021","journal-title":"Space Sci. Rev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"6832","DOI":"10.1109\/TGRS.2019.2908813","article-title":"A Global Adjustment Method for Photogrammetric Processing of Chang\u2019E-2 Stereo Images","volume":"57","author":"Ren","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1109\/JSTARS.2022.3233359","article-title":"Optimized Views Photogrammetry: Precision Analysis and a Large-Scale Case Study in Qingdao","volume":"16","author":"Li","year":"2023","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_28","unstructured":"(2024, October 06). Bentley, 2018. ContextCapture. Available online: https:\/\/www.bentley.com\/software\/contextcapture\/."},{"key":"ref_29","unstructured":"(2024, October 06). Agisoft, 2022. Agisoft Metashape: Agisoft Metashape. Available online: https:\/\/www.agisoft.com\/."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Schonberger, J.L., and Frahm, J.-M. (2016, January 27\u201330). Structure-from-Motion Revisited. Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA.","DOI":"10.1109\/CVPR.2016.445"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Moulon, P., Monasse, P., Perrot, R., and Marlet, R. (2017). OpenMVG: Open Multiple View Geometry. Reproducible Research in Pattern Recognition (RRPR 2016), Springer.","DOI":"10.1007\/978-3-319-56414-2_5"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Shen, X., Li, Q., Wu, G., and Zhu, J. (2017). Bias Compensation for Rational Polynomial Coefficients of High-Resolution Satellite Imagery by Local Polynomial Modeling. Remote Sens., 9.","DOI":"10.3390\/rs9030200"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"59","DOI":"10.14358\/PERS.69.1.59","article-title":"Block Adjustment of High-Resolution Satellite Images Described by Rational Polynomials","volume":"69","author":"Grodecki","year":"2003","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_34","first-page":"1","article-title":"Generation of Large-Scale Orthophoto Mosaics Using MEX HRSC Images for the Candidate Landing Regions of China\u2019s First Mars Mission","volume":"60","author":"Geng","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2558","DOI":"10.1109\/TGRS.2011.2107522","article-title":"Rigorous Photogrammetric Processing of HiRISE Stereo Imagery for Mars Topographic Mapping","volume":"49","author":"Li","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_36","unstructured":"Becker, K.J., Anderson, J.A., Weller, L.A., and Becker, T.L. (2013, January 18\u201322). ISIS Support for NASA Mission Instrument Ground Data Processing Systems. Proceedings of the 44th Lunar and Planetary Science Conference (LPSC), Houston, TX, USA."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1016\/j.pss.2010.12.008","article-title":"A Working Environment for Digital Planetary Data Processing and Mapping Using ISIS and GRASS GIS","volume":"59","author":"Frigeri","year":"2011","journal-title":"Planet. Space Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"112","DOI":"10.3847\/PSJ\/ad33ca","article-title":"Increasing the Usability and Accessibility of Voyager 2 Images of Triton","volume":"5","author":"Bland","year":"2024","journal-title":"Planet. Sci. J."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1029\/2018EA000409","article-title":"The Ames Stereo Pipeline: NASA\u2019s Open Source Software for Deriving and Processing Terrain Data","volume":"5","author":"Beyer","year":"2018","journal-title":"Earth Space Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.icarus.2016.05.012","article-title":"Extracting Accurate and Precise Topography from LROC Narrow Angle Camera Stereo Observations","volume":"283","author":"Henriksen","year":"2017","journal-title":"Icarus"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive Image Features from Scale-Invariant Keypoints","volume":"60","author":"Lowe","year":"2004","journal-title":"Int. J. Comput. Vis."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1109\/LGRS.2018.2885086","article-title":"Orthorectification of Planetary Linear Pushbroom Images Based on an Improved Back-Projection Algorithm","volume":"16","author":"Geng","year":"2019","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1016\/j.icarus.2010.11.010","article-title":"Laser Ranging to the Lost Lunokhod~1 Reflector","volume":"211","author":"Murphy","year":"2011","journal-title":"Icarus"},{"key":"ref_44","unstructured":"USGS (2024, October 06). Astrogeology Science Center. Bennu OSIRIS-REx OCAMS Global PAN Mosaic at 5 cm Resolution, Available online: https:\/\/astrogeology.usgs.gov\/search\/map\/bennu_osiris_rex_ocams_global_pan_mosaic_5cm."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/23\/4600\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:49:30Z","timestamp":1760114970000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/23\/4600"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,7]]},"references-count":44,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["rs16234600"],"URL":"https:\/\/doi.org\/10.3390\/rs16234600","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2024,12,7]]}}}