地理空间分析
计算机科学
人工智能
卷积神经网络
计算机视觉
分割
遥感
特征提取
图像分割
传感器融合
地理
作者
Andrea Grillo,Vladimir A. Krylov,Sebastiano B. Serpico
标识
DOI:10.1109/igarss47720.2021.9554540
摘要
Road information extraction based purely on remote sensing can be affected by occlusions of the road surface caused by trees, shadows, and buildings. We propose a multimodal fusion method that addresses road extraction and road width estimation by combining aerial imagery, monocular images taken at ground level (street-level), and geospatial data (Open-StreetMap). The method combines semantic segmentation through convolutional neural networks, Voronoi diagram processing, and graph matching.
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