Abstract
It is very difficult to transmit spatial data over the Internet rapidly because of huge data volume and limited network bandwidth. How to transmit spatial data over the Internet is becoming a big problem. Based on the Distance View and the Characteristic Set View, this paper proposes a Spatial Data Similarity Model (SDSM) and a set of methods to measure the similarity of points, polylines and polygons, then this paper puts forward a spatial data progressive transmission method based on the SDSM, which is prior to transmit the spatial data that is most important for shape from server to clients. The experiments tested the progressive transmission control of the polylines and polygons data by the similarity at different resolutions, The results show that the SDSM is beneficial to progressive transmission of spatial data at different resolutions and is a promising solution to the progressive transmission of spatial data over internet.
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Luliang Tang obtained his doctoral degree on GIScience from Wuhan University, China in 2007. He was a Post-doctoral Research Fellow in Department of Geography, University of Tennessee, USA from 2010 to 2011. Luliang is a Professor in GIS and remote sensing, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China. His current research interests are space time GIS, space time data collecting and processing, remote sensing, traffic information acquiring, spatial data change detection. Dr. Tang has published over 40 research articles in Science China, IJCAS, Journal of Networks.
Xia Zhang is an associate Professor in Department of Architecture, School of Urban Design, Wuhan University, China. Dr Zhang obtained her doctoral degree from LIESMARS, Wuhan University, China in 2006. Her current research interests focus on the application of digital technical and geographic information science to urban design and building design. Her current teaching course including: building design, digital building design, law and code of building. She has published over 20 research articles in related journals.
Zihan Kan obtained her undergraduate degree on GIS from Wuhan University, China in 2014. Zihan is an master student in GIS and Remote Sensing, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China. Her current research interests are spatial-time GIS data collecting and processing, emote sensing, traffic information acquiring, spatial data change detection.
Bisheng Yang obtained his Ph.D. in Photogrammetry and Remote Sensing from Wuhan University, China in 2002. He was a Post-doctoral Research Fellow in GIS Division, Department of Geography, University of Zurich, Switzerland from October 2002 to October 2006. He is a Professor in Wuhan University. His research interests cover 3D data modeling, 3D GIS, 2D/3D visualization, LBS, progressive transmission of spatial data over the Internet. He has published a lot of scientific papers in IJGIS, IJRS, PE&RS.
Qingquan Li received his M.S. degree in Engineering and his Ph.D. degree in Photogrammetry and Remote Sensing from Wuhan University, Wuhan, China, in 1988 and 1998, respectively. From 1988 to 1996, he was an Assistant Professor with Wuhan University, where he became an Associate professor from 1996 to 1998 and has been a Professor with the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing since 1998. He is currently the Executive Vice President of Wuhan University and the Director of the Engineering Research Center for Spatiotemporal Data Smart Acquisition and Application, Ministry of Education of China. He is an expert in Modern Traffic with the National 863 Plan and an Editorial Board Member of the Surveying and Mapping Journal and the Wuhan University Journal—Information Science Edition. His research interests include photogrammetry, remote sensing, and intelligent transportation systems.
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Tang, L., Zhang, X., Kan, Z. et al. Spatial data Internet progressive transmission control based on the geometric shapes similarity. Int. J. Control Autom. Syst. 12, 1110–1117 (2014). https://doi.org/10.1007/s12555-012-0484-4
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DOI: https://doi.org/10.1007/s12555-012-0484-4