Objects Segmentation From High-Resolution Aerial Images Using U-Net With Pyramid Pooling Layers
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DOI: 10.1109/lgrs.2018.2868880
Abstract: Extracting manufactured features such as buildings, roads, and water from aerial images is critical for urban planning, traffic management, and industrial development. Recently, convolutional neural networks (CNNs) have become a popular strategy to capture contextual… read more here.
Keywords: pyramid pooling; objects segmentation; pooling layers; data sets ... See more keywords