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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
document
Chen, Yong (author), Lv, Maolong (author), Baldi, S. (author), Liu, Zongcheng (author), Zhang, Wenqian (author), Zhou, Yang (author)
This work focuses on adaptive neural dynamic surface control (DSC) for an extended class of nonlinear MIMO strict-feedback systems whose control gain functions are continuous and possibly unbounded. The method is based on introducing a compact set which is eventually proved to be an invariant set: thanks to this set, the restrictive...
conference paper 2019
document
Yang, Yang (author), Li, Diquan (author), Tong, Tiegang (author), Zhang, D. (author), Zhou, Yatong (author), Chen, Yangkang (author)
Strong noise is one of the toughest problems in the controlled-source electromagnetic (CSEM) method, which highly affects the quality of recorded data. The three main types of noise existing in CSEM data are periodic noise, Gaussian white noise, and nonperiodic noise, among which the nonperiodic noise is thought to be the most difficult to...
journal article 2018
document
Zhou, Yatong (author), Li, Shuhua (author), Zhang, D. (author), Chen, Yangkang (author)
We propose a new low-rank based noise attenuation method using an efficient algorithm for tracking subspaces from highly corrupted seismic observations. The subspace tracking algorithm requires only basic linear algebraic manipulations. The algorithm is derived by analysing incremental gradient descent on the Grassmannian manifold of...
journal article 2018
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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
document
Chen, Liangbiao (author), Zhou, Jiang (author), Chu, Hsing-Wei (author), Zhang, G.Q. (author), Fan, Xuejun (author)
While moisture diffusion in microelectronic device and packaging has been studied for decades, the problems involving complex nonlinear moisture diffusion in multi-material assembly have not been fully studied. This paper has developed a general nonlinear diffusion model by adopting water activity, a continuous state variable, as the field...
journal article 2017
document
Zhou, Y. (author), Jiao, H. (author), Chen, Y. (author), Bauer, G.E.W. (author), Xiao, J. (author)
We develop a self-consistent theory for current-induced spin-wave excitations in normal metal/magnetic insulator bilayer structures. We compute the spin-wave dispersion and dissipation, including dipolar and exchange interactions in the magnet, the spin diffusion in the normal metal, as well as the surface anisotropy, spin-transfer torque, and...
journal article 2013
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