Title:
空間データ高解像度化装置、空間データ高解像度化方法、及び空間データ高解像度化プログラム
Document Type and Number:
Japanese Patent JP7133175
Kind Code:
B2
Abstract:
A parameter estimation section 106 is configured to perform estimation, for aggregate data in which values are associated with respective regions obtained by subdividing a space and for a Gaussian process model that expresses a plurality of aggregate data of differing partition granularity. The estimation is performed based on the Gaussian process model including a spatial scale parameter of a correlation function between regions of the aggregate data and including a noise variance parameter of the correlation function, by estimating the spatial scale parameter and the noise variance parameter so as to maximize a function expressing values of the aggregate data by area integrals of a Gaussian process. A high resolution data computation section 111 is configured to perform computation in the Gaussian process model including the estimated spatial scale parameter and noise variance parameter by computing high resolution data in which the resolution of the subject aggregate data is enhanced by taking area integrals of the values of the aggregate data subject to enhancement, by computation for each region obtained by subdividing the space at the granularity indicated by the target partition.
Inventors:
Yusuke Tanaka
Guji Iwata
Ken Kurashima
Hiroyuki Toda
Toshiyuki Tanaka
Guji Iwata
Ken Kurashima
Hiroyuki Toda
Toshiyuki Tanaka
Application Number:
JP2019128429A
Publication Date:
September 08, 2022
Filing Date:
July 10, 2019
Export Citation:
Assignee:
Nippon Telegraph and Telephone Corporation
Kyoto University
Kyoto University
International Classes:
G06N7/00; G06F16/28; G06N20/00
Domestic Patent References:
| JP201849390A | ||||
| JP201044618A |
Foreign References:
| US20110257949 |
Other References:
TANAKA, Yusuke, et al.,"Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities",arXiv:1809.07952v1,version v1,[online], arXiv (Cornell University),2018年09月21日,Pages 1-11,[retrieved on 2020.08.19], Retrieved from the Internet:Retrieved from the Internet: and .
TANAKA, Yusuke, et al.,"Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs",arXiv:1907.08350v2,version v2,[online], arXiv (Cornell University),2020年01月07日,Pages 1-15,[retrieved on 2020.08.18], Retrieved from the Internet: and .
Christopher Smith-Clarke et al.,Poverty on the Cheap: Estimating Poverty Maps Using Aggregated Mobile Communication Networks,Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,米国,ACM,2014年04月26日,pp.511-520,https://dl.acm.org/doi/pdf/10.1145/2556288.2557358
石井那由他、白石 陽、石塚宏紀、戸辺義人,空間補間による異種解像度センサデータの統合手法,情報処理学会論文誌,日本,社団法人情報処理学会,2008年03月15日,Vol.49,No.SIG7(TOD37),pp.44-58,ISSN 0387-5806
TANAKA, Yusuke, et al.,"Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs",arXiv:1907.08350v2,version v2,[online], arXiv (Cornell University),2020年01月07日,Pages 1-15,[retrieved on 2020.08.18], Retrieved from the Internet:
Christopher Smith-Clarke et al.,Poverty on the Cheap: Estimating Poverty Maps Using Aggregated Mobile Communication Networks,Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,米国,ACM,2014年04月26日,pp.511-520,https://dl.acm.org/doi/pdf/10.1145/2556288.2557358
石井那由他、白石 陽、石塚宏紀、戸辺義人,空間補間による異種解像度センサデータの統合手法,情報処理学会論文誌,日本,社団法人情報処理学会,2008年03月15日,Vol.49,No.SIG7(TOD37),pp.44-58,ISSN 0387-5806
Attorney, Agent or Firm:
Patent Service Corporation Taiyo International Patent Office