Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W4, 57-59, 2015
https://doi.org/10.5194/isprsarchives-XL-2-W4-57-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
19 Oct 2015
GROUPING METHOD FOR NEIGHBOR OBJECTS OF MOVING OBJECT USING HASH INDEX
B. Lee, J. Kim, and K. Yu Dept. of Civil and Environmental Engineering, Seoul National University, 599 Gwanak-ro, Gwanak-gu, Seoul, Korea
Keywords: Grouping method, moving object, hash index Abstract. A location-based social network (LBSNS) is a social network service (SNS) that is based on a user’s location, unlike SNS, and facilitates additional activities like neighbour-user search and group formation in real time. This research examined the efficiency of a real-time grouping method for extracted neighbour objects on a WMTS (Web Map Tile Service) for which a hash index was used. As a result, the suggested method is not different from buffering a neighbour area according to the average number of returned data per 1 km2, and the required time is shorter than that of buffering.
Conference paper (PDF, 735 KB)


Citation: Lee, B., Kim, J., and Yu, K.: GROUPING METHOD FOR NEIGHBOR OBJECTS OF MOVING OBJECT USING HASH INDEX, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W4, 57-59, https://doi.org/10.5194/isprsarchives-XL-2-W4-57-2015, 2015.

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