Jinbao Zhang
Orcid: 0000-0001-8510-149XAffiliations:
- 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 12 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Estimating China's poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques.
Geo spatial Inf. Sci., July, 2024
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
Int. J. Geogr. Inf. Sci., 2017
Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models.
CoRR, 2017
CoRR, 2017