A schema-aware encoder for Putrajaya 3D

Siew, C. B.; Rahman, Alias Abdul

doi:10.1201/b14914-22

Cited by 1 publication

(1 citation statement)

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“…The progress of implementing SDI in various countries such as Digital China Geospatial Framework (DCGF) [16] and National Land Information System (NLIS) in Poland [17] provides the evidence of growing importance of spatial data sharing for various requirements. The requirements for encoding CityGML in 3D SDI have been thoroughly discussed by Siew and Abdul Rahman [18]. The input must be XML standardized, encoded content must be based on open standard notation and decoder must provide options for lossless output.…”

Section: Citygml and Sdi Frameworkmentioning

confidence: 99%

CitySAC: A Query-Able CityGML Compression System

Siew

Kumar

2019

Smart Cities

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Spatial Data Infrastructures (SDIs) are frequently used to exchange 2D & 3D data, in areas such as city planning, disaster management, urban navigation and many more. City Geography Mark-up Language (CityGML), an Open Geospatial Consortium (OGC) standard has been developed for the storage and exchange of 3D city models. Due to its encoding in XML based format, the data transfer efficiency is reduced which leads to data storage issues. The use of CityGML for analysis purposes is limited due to its inefficiency in terms of file size and bandwidth consumption. This paper introduces XML based compression technique and elaborates how data efficiency can be achieved with the use of schema-aware encoder. We particularly present CityGML Schema Aware Compressor (CitySAC), which is a compression approach for CityGML data transaction within SDI framework. Our test results show that the encoding system produces smaller file size in comparison with existing state-of-the-art compression methods. The encoding process significantly reduces the file size up to 7–10% of the original data.

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Section: Citygml and Sdi Frameworkmentioning

confidence: 99%