Jinbao Zhang

Orcid: 0000-0001-8510-149X

Affiliations:
  • Sun Yat-sen University, School of Geography and Planning, Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou, China


According to our database1, Jinbao Zhang authored at least 11 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

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Bibliography

2021
Accurate Estimation of the Proportion of Mixed Land Use at the Street-Block Level by Integrating High Spatial Resolution Images and Geospatial Big Data.
IEEE Trans. Geosci. Remote. Sens., 2021

The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types.
Int. J. Geogr. Inf. Sci., 2021

2019
Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique.
Comput. Environ. Urban Syst., 2019

A human-machine adversarial scoring framework for urban perception assessment using street-view images.
Int. J. Geogr. Inf. Sci., 2019

2018
Mapping fine-scale urban housing prices by fusing remotely sensed imagery and social media data.
Trans. GIS, 2018

Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques.
Int. J. Geogr. Inf. Sci., 2018

2017
Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data.
Int. J. Geogr. Inf. Sci., 2017

Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model.
Int. J. Geogr. Inf. Sci., 2017

Classifying urban land use by integrating remote sensing and social media data.
Int. J. Geogr. Inf. Sci., 2017

Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models.
CoRR, 2017

Extracting urban impervious surface from GF-1 imagery using one-class classifiers.
CoRR, 2017


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