Structure-Level 3D Building Model Encoding Method for Progressive Transmission
Progressive encoding and transmission, i.e., a crucial technical foundation of 3D Web Geographic Information Systems (WebGIS), addresses the contradiction between massive 3D building data and limited network transmission capacity. Most progressive encoding algorithms, taking vertices, edges or trian...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/5/306 |
| _version_ | 1797535130995130368 |
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| author | Jiwei Dong Junzhong Tan Qiang Zhao Lixia He Sirui Li Jiangfeng She |
| author_facet | Jiwei Dong Junzhong Tan Qiang Zhao Lixia He Sirui Li Jiangfeng She |
| author_sort | Jiwei Dong |
| collection | DOAJ |
| description | Progressive encoding and transmission, i.e., a crucial technical foundation of 3D Web Geographic Information Systems (WebGIS), addresses the contradiction between massive 3D building data and limited network transmission capacity. Most progressive encoding algorithms, taking vertices, edges or triangles as encoding units, may break the inherent geometric and topological characteristics of 3D building models. Thus, a novel 3D building model encoding method that can maintain the internal characteristics is proposed, which can be used for high-efficiency progressive transmission. With this method, each building is decomposed into three types of fundamental structures: main structure, independent structure and attached structure. A structural topology graph (STG) was constructed based on the connections among structures. Guided by STG, one or more structures were wrapped as the smallest incremental transmission unit, denoted as transmission node. When requested, the real-time position of viewpoint, orientation and visual importance of nodes are used to pick up expected nodes for responding. The results confirm that the proposed method can better maintain the geometric and topological characteristics while encoding 3D building models. While serving for transmission, the proposed method not only effectively reduces the transmission load, but also provides users with a better consistency experience on the building appearance at different simplification levels. |
| first_indexed | 2024-03-10T11:40:12Z |
| format | Article |
| id | doaj.art-226ee35cbc9a427ca8866ccf01d84e1f |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T11:40:12Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-226ee35cbc9a427ca8866ccf01d84e1f2023-11-21T18:32:26ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-05-0110530610.3390/ijgi10050306Structure-Level 3D Building Model Encoding Method for Progressive TransmissionJiwei Dong0Junzhong Tan1Qiang Zhao2Lixia He3Sirui Li4Jiangfeng She5Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaProgressive encoding and transmission, i.e., a crucial technical foundation of 3D Web Geographic Information Systems (WebGIS), addresses the contradiction between massive 3D building data and limited network transmission capacity. Most progressive encoding algorithms, taking vertices, edges or triangles as encoding units, may break the inherent geometric and topological characteristics of 3D building models. Thus, a novel 3D building model encoding method that can maintain the internal characteristics is proposed, which can be used for high-efficiency progressive transmission. With this method, each building is decomposed into three types of fundamental structures: main structure, independent structure and attached structure. A structural topology graph (STG) was constructed based on the connections among structures. Guided by STG, one or more structures were wrapped as the smallest incremental transmission unit, denoted as transmission node. When requested, the real-time position of viewpoint, orientation and visual importance of nodes are used to pick up expected nodes for responding. The results confirm that the proposed method can better maintain the geometric and topological characteristics while encoding 3D building models. While serving for transmission, the proposed method not only effectively reduces the transmission load, but also provides users with a better consistency experience on the building appearance at different simplification levels.https://www.mdpi.com/2220-9964/10/5/3063D building modelprogressive encodingstructure extractionstructural topology graph |
| spellingShingle | Jiwei Dong Junzhong Tan Qiang Zhao Lixia He Sirui Li Jiangfeng She Structure-Level 3D Building Model Encoding Method for Progressive Transmission ISPRS International Journal of Geo-Information 3D building model progressive encoding structure extraction structural topology graph |
| title | Structure-Level 3D Building Model Encoding Method for Progressive Transmission |
| title_full | Structure-Level 3D Building Model Encoding Method for Progressive Transmission |
| title_fullStr | Structure-Level 3D Building Model Encoding Method for Progressive Transmission |
| title_full_unstemmed | Structure-Level 3D Building Model Encoding Method for Progressive Transmission |
| title_short | Structure-Level 3D Building Model Encoding Method for Progressive Transmission |
| title_sort | structure level 3d building model encoding method for progressive transmission |
| topic | 3D building model progressive encoding structure extraction structural topology graph |
| url | https://www.mdpi.com/2220-9964/10/5/306 |
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