Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution

Title
Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution
Authors
Keywords
Landuse characterization, Convolutional neural networks, Overhead imagery, Ground-based pictures, Volunteered geographic information, Urban areas, Multi-modal, Canonical correlation analysis, Missing modality
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 228, Issue -, Pages 129-143
Publisher
Elsevier BV
Online
2019-05-01
DOI
10.1016/j.rse.2019.04.014

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