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Xiuyuan Zhang
Researcher at Peking University
Publications - 33
Citations - 908
Xiuyuan Zhang is an academic researcher from Peking University. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 10, co-authored 23 publications receiving 473 citations. Previous affiliations of Xiuyuan Zhang include Harvard University.
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Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data
TL;DR: H Hierarchical semantic cognition is presented in this study, and serves as a general cognition structure for recognizing urban functional zones and can further support urban planning and management.
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A Linear Dirichlet Mixture Model for decomposing scenes: Application to analyzing urban functional zonings
Xiuyuan Zhang,Shihong Du +1 more
TL;DR: A decomposition model for quantifying mixed semantics of urban scenes and applying the proposed model to analyze urban functional zonings are developed and experimentally verified to be reliable and more effective in performance.
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Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach
TL;DR: The proposed approach to semantically classify buildings into much finer categories by learning random forest (RF) classifier from a large number of imbalanced samples with high-dimensional features is effective and accurate.
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Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images
TL;DR: This study proposes a semantic segmentation method for VHR images by incorporating deep learning semantic segmentsation model (DeepLabv3+) and object-based image analysis (OBIA), wherein DSM is employed to provide geometric information to enhance the interpretation of V HR images.
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Learning selfhood scales for urban land cover mapping with very-high-resolution satellite images
Xiuyuan Zhang,Shihong Du +1 more
TL;DR: It can be concluded that selfhood scales are effective to improve land cover mapping in urban areas after being used to generate land cover maps in Beijing and Zhuhai cities which perform much better than the classical methods.