Urban Commerce Distribution Analysis Based on Street View and Deep Learning
Urban commerce and its distribution have always been an important part of urban research. However, most previous studies were based on statistical data and did not reflect real street experience. Thanks to the Street View image and deep learning technology, researchers are able to carry out large sc...
Main Authors: | Nanqi Ye, Bowen Wang, Michihiro Kita, Ming Xie, Wenyue Cai |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8890683/ |
Similar Items
-
City-Scale Mapping of Urban Façade Color Using Street-View Imagery
by: Teng Zhong, et al.
Published: (2021-04-01) -
Classifying Street Spaces with Street View Images for a Spatial Indicator of Urban Functions
by: Zhaoya Gong, et al.
Published: (2019-11-01) -
Development of a City-Scale Approach for Façade Color Measurement with Building Functional Classification Using Deep Learning and Street View Images
by: Jiaxin Zhang, et al.
Published: (2021-08-01) -
Automatic Sky View Factor Estimation from Street View Photographs—A Big Data Approach
by: Jianming Liang, et al.
Published: (2017-04-01) -
Analysis of Urban Drivable and Walkable Street Networks of the ASEAN Smart Cities Network
by: Pengjun Zhao, et al.
Published: (2019-10-01)