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Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
[article]
2022
arXiv
pre-print
Land remote sensing analysis is a crucial research in earth science. In this work, we focus on a challenging task of land analysis, i.e., automatic extraction of traffic roads from remote sensing data, which has widespread applications in urban development and expansion estimation. Nevertheless, conventional methods either only utilized the limited information of aerial images, or simply fused multimodal information (e.g., vehicle trajectories), thus cannot well recognize unconstrained roads.
arXiv:2111.15119v3
fatcat:ibqidy4rlzeo7lejrl2tfp33qi