MCS Assisted Accurate Perception Framework for Urban POI Classification

Xiaorong Feng, Yuchen Yang, Xudong Zhang, Dongsheng Guo, Guisong Yang, Pietro Manzoni · 2025

Read MCS Assisted Accurate Perception Framework for Urban POI Classification by Xiaorong Feng, Yuchen Yang, Xudong Zhang, Dongsheng Guo, Guisong Yang, Pietro Manzoni (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12694090.txt.

Description

Highlights What are the main findings? Proposes a hybrid MCS perception framework (MCS-APF) that integrates participatory and opportunistic sensing to achieve high-quality, low-cost urban POI data collection.Introduces an improved DBSCAN-H clustering algorithm using Haversine distance for accurate geographic POI clustering, enhancing intra-cluster compactness and inter-cluster separation. What are the implications of the main finding?

Catalog record

CREATORXiaorong Feng, Yuchen Yang, Xudong Zhang, Dongsheng Guo, Guisong Yang, Pietro Manzoni
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE74 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12694090

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