Open AccessEvaluation of Street in Luohu District of Shenzhen on Semantic of Street Image
Author(s) -
YIRAN CHAN
Publication year - 2021
Publication title -
journal of mechanical, civil and industrial engineering
Language(s) - English
Resource type - Journals
ISSN - 2710-1436
DOI - 10.32996/jmcie.2021.2.2.9
Subject(s) - unit (ring theory) , control (management) , space (punctuation) , urban green space , computer science , geography , block (permutation group theory) , artificial intelligence , mathematics , geometry , operating system , mathematics education
Based on the theoretical extension of the greening vision and the application practice of streetscape big data, the average green vision rate within the planned green area coverage block of Luohu District, Shenzhen is calculated by PHOTOSHOP and FCN software, and the differences in spatial distribution and current status characteristics between its 3D green vision rate and the management unit control guidance map of Shenzhen Green Space System Planning (2014-2030) are explored, and the results show that the green space rate in the main urban area of Luohu District, Shenzhen is 36.78%, which is much better than the average level of major cities in the world, but there is still a gap compared with the management unit control guidance map of Shenzhen Green Space System Planning (2014-2030), and this paper proposes optimization suggestions for the current deficiency.