3.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Liangpei Zhang3 profiles44 · h 130
- Gui-Song Xia2 profiles22 · h 43
- Huanfeng Shen19 · h 76
- Qiangqiang Yuan15 · h 59
- Bo Du2 profiles11 · h 82
- Chen Wu3 profiles11 · h 29
- Guisong Xia2 profiles11 · h 39
- Chenxi Duan2 profiles9 · h 19
- L. Zhang9 · h 59
- Rui Li2 profiles8 · h 15
- Ce Zhang2 profiles7 · h 28
- Jie Li7 · h 26
- Wuhan UniversityCN150 papers
- Chinese Academy of SciencesCN13 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE9 papers
- Huazhong University of Science and TechnologyCN8 papers
- Technical University of MunichDE8 papers
- China University of GeosciencesCN7 papers
- Lancaster UniversityGB7 papers
- UK Centre for Ecology & HydrologyGB7 papers
- The University of TokyoJP6 papers
- Sun Yat-sen UniversityCN5 papers
- University of SouthamptonGB5 papers
- Institute of Geographic Sciences and Natural Resources ResearchCN4 papers
10 papers · 1 filter
Learning Regional Attraction for Line Segment Detection
Nan Xue, Song Bai, Fu-Dong Wang +4
This paper presents regional attraction of line segment maps, and hereby poses the problem of line segment detection (LSD) as a problem of region coloring. Given a line segment map…
Conditional Generative ConvNets for Exemplar-based Texture Synthesis
Zi-Ming Wang, Meng-Han Li, Gui-Song Xia
The goal of exemplar-based texture synthesis is to generate texture images that are visually similar to a given exemplar. Recently, promising results have been reported by methods…
Optimizing and accelerating space-time Ripley's K function based on Apache Spark for distributed spatiotemporal point pattern analysis
Yuan Wang, Zhipeng Gui, Huayi Wu +3
With increasing point of interest (POI) datasets available with fine-grained spatial and temporal attributes, space-time Ripley's K function has been regarded as a powerful approac…
An Urban Water Extraction Method Combining Deep Learning and Google Earth Engine
Yudie Wang, Zhiwei Li, Chao Zeng +2
Urban water is important for the urban ecosystem. Accurate and efficient detection of urban water with remote sensing data is of great significance for urban management and plannin…
Extracting Trips from Multi-Sourced Data for Mobility Pattern Analysis: An App-Based Data Example
Feilong Wang, Jingxing Wang, Jinzhou Cao +3
Passively-generated data, such as GPS data and cellular data, bring tremendous opportunities for human mobility analysis and transportation applications. Since their primary purpos…
Multiple instance dense connected convolution neural network for aerial image scene classification
Qi Bi, Kun Qin, Zhili Li +2
With the development of deep learning, many state-of-the-art natural image scene classification methods have demonstrated impressive performance. While the current convolution neur…
SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance
Rongfang Wang, Jia-Wei Chen, Yule Wang +2
The log-ratio (LR) operator has been widely employed to generate the difference image for synthetic aperture radar (SAR) image change detection. However, the difference image gener…
Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net
Rongfang Wang, Jie Zhang, Jia-Wei Chen +2
Change detection is a quite challenging task due to the imbalance between unchanged and changed class. In addition, the traditional difference map generated by log-ratio is subject…
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Qikui Zhu, Bo Du, Pingkun Yan
Accurate segmentation of the prostate from magnetic resonance (MR) images provides useful information for prostate cancer diagnosis and treatment. However, automated prostate segme…
Formulation of a Triaxial Three-Layered Earth Rotation: I. Theory and Rotational Normal Mode Solutions
Zhiliang Guo, Wenbin Shen
In this study, we formulated a triaxial three-layered anelastic Earth rotation theory con-sidering various core mantle couplings, including the pressure and gravitational couplings…