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Zhou, K. (author), Chen, Y. (author), Smal, I.V. (author), Lindenbergh, R.C. (author)
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 model. Building segmentation is often the first and utmost step. Convolutional neural networks (CNNs) draw lots of attention in interpreting VHR images as they can...
journal article 2019
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Chen, Y. (author), Gao, W. (author), Widyaningrum, E. (author), Zheng, M. (author), Zhou, K. (author)
Semantic segmentation, especially for buildings, from the very high resolution (VHR) airborne images is an important task in urban mapping applications. Nowadays, the deep learning has significantly improved and applied in computer vision applications. Fully Convolutional Networks (FCN) is one of the tops voted method due to their good...
journal article 2018