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Representation and Organization for Spatial Data in LBS
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wang, Yanhui Li, Yue |
| Copyright Year | 2014 |
| Abstract | Aiming at the special demand on SVG_based representation and organization for spatial data in location based services (LBS), the research is made in this article on the conversion method from multiple formats to SVG format, and a harris_corner detector method is proposed and verified to evaluate the conversion result. Based on the above, an optimized compression arithmetic is proposed, which integrated the characteristic of code simplification and GZIP compression. The test shows that the techniques on conversion and compression are feasible, which means that SVG_based representation is suited for spatial data in LBS and the improved compression arithmetic is prior to the former. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://en.earth-science.net/PDF/20140603045028.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Compression Detectors Level of detail Location-based service NetBSD Gzip / FreeBSD Gzip Pounds Scalable Vector Graphics format |
| Content Type | Text |
| Resource Type | Article |
