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Zhou, K. (author), Lindenbergh, R.C. (author), Gorte, Ben (author)
Up-to-date 3D city models are needed for many applications. Very-high-resolution (VHR) images with rich geometric and spectral information and a high update rate are increasingly applied for the purpose of updating 3D models. Shadow detection is the primary step for image interpretation, as shadow causes radiometric distortions. In addition,...
journal article 2019
document
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
document
Zhou, K. (author), Gorte, B.G.H. (author)
In VHR(very high resolution) aerial images, shadows indicating height information are valuable for validating or detecting changes on an existing 3D city model. In the paper, we propose a novel and full automatic approach for shadow detection from VHR images. Instead of automatic thresholding, the supervised machine learning approach is...
conference paper 2017