Y
Yuan Meng
Researcher at Hong Kong Polytechnic University
Publications - 23
Citations - 333
Yuan Meng is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Land cover & Computer science. The author has an hindex of 8, co-authored 19 publications receiving 170 citations. Previous affiliations of Yuan Meng include Shandong Normal University.
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Journal ArticleDOI
Integrating landscape metrics and socioeconomic features for urban functional region classification
Hanfa Xing,Hanfa Xing,Yuan Meng +2 more
TL;DR: This result indicates the effectiveness of the delineated characteristics to depict urban landscapes and socioeconomic information and the reliability of integrating these features for urban functional region classification.
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Exploring the relationship between landscape characteristics and urban vibrancy: A case study using morphology and review data
Yuan Meng,Hanfa Xing,Hanfa Xing +2 more
TL;DR: In this paper, the relationship between urban landscapes and urban vibrancy is explored, and regression analyses are proposed to assess the relationship of landscape characteristics and urban density in urban areas.
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Exploring geo-tagged photos for land cover validation with deep learning
TL;DR: The presented approach proves the feasibility of deep learning technology on land cover information identification of geo-tagged photos, and has a great potential to support and improve the efficiency of land cover validation.
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Measuring urban landscapes for urban function classification using spatial metrics
Hanfa Xing,Hanfa Xing,Yuan Meng +2 more
TL;DR: A conditional inference random forest approach is proposed to build an automatic urban function classification model with spatial metrics that quantify multiple urban landscape elements and their interactions.
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A dynamic human activity-driven model for mixed land use evaluation using social media data
TL;DR: A mixed land use evaluation model is constructed, which is driven by dynamic human activities hidden in social media data, which demonstrates the effectiveness and power of the proposed method in the evaluation of mixed land uses.