2018Journal article
Urban Land-Use Mapping Using a Deep Convolutional Neural Network with High Spatial Resolution Imagery
Remote Sensing of Environment, 214, 73–86
Read publication ↗Research question
Can deep convolutional models distinguish detailed urban land-use categories from imagery?
Geographic scope
Urban land-use mapping
Evidence base
High-resolution multispectral imagery and deep learning
Approach
A deep convolutional neural network learns spatial and spectral patterns in high-resolution multispectral remote-sensing imagery.
Why it matters
Detailed land-use maps provide an important physical layer for studying urban form, activity and environmental exposure.
Research connections