Multi-source POI matching and fusion method based on multi-semantic feature collaboration

doi:10.11947/j.AGCS.2024.20230376

Acta Geodaetica et Cartographica Sinica ›› 2024, Vol. 53 ›› Issue (11): 2229-2229.doi: 10.11947/j.AGCS.2024.20230376

• Summary of PhD Thesis • Previous Articles

Multi-source POI matching and fusion method based on multi-semantic feature collaboration

Pengpeng LI¹^,²^,³()

^1.Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
^2.National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China
^3.Key Laboratory of Science and Technology in Surveying & Mapping, Gansu Province, Lanzhou 730070, China

Received:2023-08-30 Published:2024-12-13
About author:LI Pengpeng (1994—), male, received his doctoral degree from Southwest Jiaotong University on June 2023, majors in internet geographic big data analysis and mining.　E-mail: lipengpeng@mail.lzjtu.cn

Abstract

CLC Number:

P208

Pengpeng LI. Multi-source POI matching and fusion method based on multi-semantic feature collaboration[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(11): 2229-2229.

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Multi-source POI matching and fusion method based on multi-semantic feature collaboration

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