Measuring Visual Quality of Street Space Based on Deep Learning and Street View Picture: Pilot in The Linong Area in Shanghai: Fid-Bau Portal

Measuring Visual Quality of Street Space Based on Deep Learning and Street View Picture: Pilot in The Linong Area in Shanghai

ZHANG, Qinglai / Bu, Jiatian / YU, Yifan

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Measuring Visual Quality of Street Space Based on Deep Learning and Street View Picture: Pilot in The Linong Area in Shanghai

ZHANG, Qinglai / Bu, Jiatian / YU, Yifan

Measuring Visual Quality of Street Space Based on Deep Learning and Street View Picture: Pilot in The Linong Area in Shanghai

ZHANG, Qinglai / Bu, Jiatian / YU, Yifan

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Titel:

Measuring Visual Quality of Street Space Based on Deep Learning and Street View Picture: Pilot in The Linong Area in Shanghai

Beteiligte:

ZHANG, Qinglai (Autor:in) / Bu, Jiatian (Autor:in) / YU, Yifan (Autor:in)

Kongress:

ISOCARP World Planning Congress ; 55. ; 2019 ; Jakarta; Bogor

Erschienen in:

Proceedings of the 55th ISOCARP World Planning Congress 2019

Erscheinungsdatum:

2019

ISBN:

9789075524628

Medientyp:

Aufsatz (Konferenz)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Nachhaltigkeit , Stadtentwicklung

Klassifikation:

BKL: 74.72 Stadtplanung, kommunale Planung

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