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BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN

Up-to-date 3D building models are important for many applications.Airborne very high resolution (VHR) images often acquired annually give an opportunity to create an up-to-date 3D Stove Fan Cover Clip model.Building segmentation is often the first and utmost step.Convolutional neural networks (CNNs) draw lots of attention in interpreting VHR images

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