{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:42:26Z","timestamp":1760035346190,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T00:00:00Z","timestamp":1751673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Open Research Fund Program of Key Laboratory of Digital Mapping and Land Information Application, Ministry of Natural Resources","award":["ZRZYBWD202403","42171265","62394335"],"award-info":[{"award-number":["ZRZYBWD202403","42171265","62394335"]}]},{"name":"National Natural Science Foundation of China (NSFC)","award":["ZRZYBWD202403","42171265","62394335"],"award-info":[{"award-number":["ZRZYBWD202403","42171265","62394335"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>3D (three-dimensional) property volume is an important data carrier for 3D land administration by using 3D cadastral technology, which can be used to express the legal space (property rights) scope matching with physical entities such as buildings and land. A 3D property volume is represented by a dense set of 3D coordinate points arranged in a predefined order and is displayed alongside the parcel map for reference and utilization by readers. To store a 3D property volume in the database, it is essential to record the connectivity relationships among the original 3D coordinate points, the associations between points and lines for representing boundary lines, and the relationships between lines for defining surfaces. Only by preserving the data structure that represents the relationships among points, lines, and surfaces can the 3D property volume in a parcel map be fully reconstructed. This approach inevitably results in the database storage volume significantly exceeding the original size of the point set, thereby causing storage redundancy. Consequently, this paper introduces a reversible 3D property volume compression coding method (called 3DPV-CC) to address this issue. By analyzing the distribution characteristics of the coordinate points of the 3D property volume, a specific rule for sorting the coordinate points is designed, enabling the database to have the ability of data storage and recovery by merely storing a reordered point set. The experimental results show that the 3DPV-CC method has excellent support capabilities for 3D property volumes of the vertical and slopped types, and can compress and restore the coordinate point set of the 3D property volume for drawing 3D parcel maps. The compression capacity of our method in the test is between 23.66% and 38.42%, higher than the general data compression methods (ZIP\/7Z\/RAR: 8.37\u201310.32%). By means of this method, land or real estate administrators from government departments can store 3D property volume data at a lower cost. This is conducive to enhancing the informatization level of land management.<\/jats:p>","DOI":"10.3390\/ijgi14070263","type":"journal-article","created":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T04:43:37Z","timestamp":1751863417000},"page":"263","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Reversible Compression Coding Method for 3D Property Volumes"],"prefix":"10.3390","volume":"14","author":[{"given":"Zhigang","family":"Zhao","sequence":"first","affiliation":[{"name":"Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiahao","family":"Qiu","sequence":"additional","affiliation":[{"name":"Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China"},{"name":"Shenzhen Data Management Center of Planning and Natural Resources, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1841-1970","authenticated-orcid":false,"given":"Chengpeng","family":"Li","sequence":"additional","affiliation":[{"name":"Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China"},{"name":"Key Laboratory of Digital Mapping and Land Information Application, Ministry of Natural Resources, Wuhan 430079, China"},{"name":"Shenzhen Key Laboratory of Digital Twin Technologies for Cities, Shenzhen 518060, China"},{"name":"Guangdong\u2013Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, China"},{"name":"MNR Key Laboratory of Urban Land Resources Monitoring and Simulation, Shenzhen 518060, China"},{"name":"State Key Laboratory of Subtropical Building and Urban Science, Shenzhen 518060, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Kalogianni, E., van Oosterom, P., Dimopoulou, E., and Lemmen, C. (2020). 3D Land Administration: A Review and a Future Vision in the Context of the Spatial Development Lifecycle. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9020107"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Li, C., Zhao, Z., Chen, Y., Zhu, W., Qiu, J., Jiang, S., and Guo, R. (2024). Modeling the Urban Low-Altitude Traffic Space Based on the Land Administration Domain Model\u2014Case Studies in Shenzhen, China. Land, 13.","DOI":"10.3390\/land13122062"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.landusepol.2019.104177","article-title":"Development of 3D spatial profiles to support the full lifecycle of 3D objects","volume":"98","author":"Kalogianni","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Zhang, J.-Y., Yin, P.-C., Li, G., Gu, H.-H., Zhao, H., and Fu, J.-C. (2016). 3D Cadastral Data Model Based on Conformal Geometry Algebra. ISPRS Int. J. Geo-Inf., 5.","DOI":"10.3390\/ijgi5020020"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"101382","DOI":"10.1016\/j.compenvurbsys.2019.101382","article-title":"Distortion visualization techniques for 3D coherent sets: A case study of 3D building property units","volume":"78","author":"Ying","year":"2019","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"165","DOI":"10.5194\/isprs-archives-XLVIII-4-W3-2022-165-2022","article-title":"Topological Relationships in R3 for 3d Cadastre","volume":"48","author":"Salleh","year":"2022","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1080\/10095020.2020.1780956","article-title":"Exploring the applications of 3D proximity analysis in a 3D digital cadastre","volume":"24","author":"Emamgholian","year":"2021","journal-title":"Geo-Spat. Inf. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"105637","DOI":"10.1016\/j.landusepol.2021.105637","article-title":"A topological-based approach for determining spatial relationships of complex volumetric parcels in land administration systems","volume":"109","author":"Jaljolie","year":"2021","journal-title":"Land Use Policy"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Sun, J., Mi, S., Olsson, P.-O., Paulsson, J., and Harrie, L. (2019). Utilizing BIM and GIS for Representation and Visualization of 3D Cadastre. ISPRS Int. J. Geo-Inf., 8.","DOI":"10.3390\/ijgi8110503"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1111\/tgis.12129","article-title":"Construction of 3D volumetric objects for a 3D cadastral system","volume":"19","author":"Ying","year":"2015","journal-title":"Trans. GIS"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.compenvurbsys.2012.07.006","article-title":"Developing a 3D cadastre for the administration of urban land use: A case study of Shenzhen, China","volume":"40","author":"Guo","year":"2013","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1111\/tgis.12695","article-title":"Advances in techniques to formulate the watertight concept for cadastre","volume":"25","author":"Asghari","year":"2021","journal-title":"Trans. GIS"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"104480","DOI":"10.1016\/j.landusepol.2020.104480","article-title":"Developing a new framework based on solid models for 3D cadastres","volume":"92","author":"Knoth","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"104359","DOI":"10.1016\/j.landusepol.2019.104359","article-title":"A structured framework for 3D cadastral data validation\u2212 a case study for Victoria, Australia","volume":"98","author":"Asghari","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_15","unstructured":"Thompson, R., van Oosterom, P., and Soon, K.H. (2016). A Conceptual Model supporting a range of 3D parcel representations through all stages: Data Capture, Transfer and Storage. FIG Working Week, International Federation of Surveyors."},{"key":"ref_16","unstructured":"Kalogianni, E., Dimopoulou, E., and Greece, R. (2018, January 2). Investigating 3D spatial units\u2019 types as basis for refined 3d spatial profiles in the context of LADM revision. Proceedings of the 6th International FIG Workshop on 3D Cadastres, Delft, The Netherlands."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Ying, S., Li, C., Chen, N., Jia, Y., Guo, R., and Li, L. (2021). Object Analysis and 3D Spatial Modelling for Uniform Natural Resources in China. Land, 10.","DOI":"10.3390\/land10111154"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Deering, M. (1995, January 6\u201311). Geometry compression. Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles, CA, USA.","DOI":"10.1145\/218380.218391"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/S0925-7721(99)00026-7","article-title":"Single resolution compression of arbitrary triangular meshes with properties","volume":"14","author":"Bajaj","year":"1999","journal-title":"Comput. Geom."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Jane\u010dka, K., and V\u00e1\u0161a, L. (2016). Compression of 3D geographical objects at various level of detail. The Rise of Big Spatial Data, Springer International Publishing.","DOI":"10.1007\/978-3-319-45123-7_26"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.cad.2012.10.009","article-title":"Zipper: A compact connectivity data structure for triangle meshes","volume":"45","author":"Gurung","year":"2013","journal-title":"Comput. Aided Des."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13319-016-0091-x","article-title":"Novel 3D compression methods for geometry. connectivity and texture","volume":"7","author":"Siddeq","year":"2016","journal-title":"3D Res."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Nguyen, V.P., Ung, E.M., Krishna, A., and Tham, S. (2015, January 2\u20134). Lossless compression of topology of 3D triangulated irregular networks. Proceedings of the 10th International Conference on Information, Communications and Signal Processing (ICICS), Singapore.","DOI":"10.1109\/ICICS.2015.7459974"},{"key":"ref_24","first-page":"537","article-title":"Representation method of 3D model mesh chain code","volume":"29","author":"Wei","year":"2017","journal-title":"J. Comput. Aided Des. Comput. Graph."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.isprsjprs.2021.01.006","article-title":"Feature-preserving 3D mesh simplification for urban buildings","volume":"173","author":"Li","year":"2021","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.cag.2023.11.003","article-title":"GMM-ICQ: A GMM vertex-optimization-based implicitly-connected quadrilateral format for 3D mesh storage","volume":"118","author":"Lin","year":"2024","journal-title":"Comput. Graph."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Zhao, X., Zeng, X., Gao, L., Xu, Y., and Wang, Y. (2023, January 7\u201310). DMGC: Deep Triangle Mesh Geometry Compression via Connectivity Prediction. Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video, Vancouver, BC, Canada.","DOI":"10.1145\/3592473.3592561"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhou, S., Park, J.J., Paschalidou, D., You, S., Wetzstein, G., Guibas, L., and Kadambi, A. (2023, January 18\u201322). Alto: Alternating latent topologies for implicit 3d reconstruction. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, BC, Canada.","DOI":"10.1109\/CVPR52729.2023.00033"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"3961","DOI":"10.1007\/s00371-024-03400-8","article-title":"Triangular matrix-based lossless compression algorithm for 3D mesh connectivity","volume":"40","author":"Balreira","year":"2024","journal-title":"Vis. Comput."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Li, L., Guo, R., Ying, S., Zhu, H., Wu, J., and Liu, C. (2021). 3D Modeling of the Cadastre and the Spatial Representation of Property. Urban Informatics, Springer.","DOI":"10.1007\/978-981-15-8983-6_33"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Li, C., Kuai, X., He, B., Zhao, Z., Lin, H., Zhu, W., Liu, Y., and Guo, R. (2023). Visibility-Based R-Tree Spatial Index for Consistent Visualization in Indoor and Outdoor Scenes. ISPRS Int. J. Geo-Inf., 12.","DOI":"10.3390\/ijgi12120498"},{"key":"ref_32","first-page":"1811","article-title":"Conceptual Modeling Method for Urban Low-Altitude Passage Easement","volume":"26","author":"Li","year":"2024","journal-title":"J. Geo-Inf. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1007\/s10278-003-1736-x","article-title":"Lossless Compression of Volumetric Medical Images with Improved Three-Dimensional SPIHT Algorithm","volume":"17","author":"Cho","year":"2004","journal-title":"J. Digit. Imaging"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1109\/TMI.2003.809585","article-title":"Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms","volume":"22","author":"Xiong","year":"2003","journal-title":"IEEE Trans. Med. Imaging"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/14\/7\/263\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:05:05Z","timestamp":1760033105000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/14\/7\/263"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,5]]},"references-count":34,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["ijgi14070263"],"URL":"https:\/\/doi.org\/10.3390\/ijgi14070263","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2025,7,5]]}}}