Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net
IEEE Transactions on Geoscience and Remote Sensing(2019)
摘要
Road information extraction based on aerial images is a critical task for many applications, and it has attracted considerable attention from researchers in the field of remote sensing. The problem is mainly composed of two subtasks, namely, road detection and centerline extraction. Most of the previous studies rely on multistage-based learning methods to solve the problem. However, these approach...
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关键词
Roads,Task analysis,Feature extraction,Image segmentation,Deep learning,Remote sensing,Automobiles
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