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
21 papers · 1 filter
Carrier Phase Ranging for Indoor Positioning with 5G NR Signals
Liang Chen, Xin Zhou, Feifei Chen +2
Indoor positioning is one of the core technologies of Internet of Things (IoT) and artificial intelligence (AI), and is expected to play a significant role in the upcoming era of A…
Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images
Kunping Yang, Xin-Yi Tong, Gui-Song Xia +2
Targeting at depicting land covers with pixel-wise semantic categories, semantic segmentation in remote sensing images needs to portray diverse distributions over vast geographical…
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Yonghao Xu, Fengxiang He, Bo Du +2
Deep neural networks (DNNs) have greatly contributed to the performance gains in semantic segmentation. Nevertheless, training DNNs generally requires large amounts of pixel-level…
Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping
Zhenfeng Shao, Gui Cheng, Deren Li +3
In a complex urban scene, observation from a single sensor unavoidably leads to voids in observations, failing to describe urban objects in a comprehensive manner. In this paper, w…
Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion
Huanfeng Shen, Menghui Jiang, Jie Li +3
In the fields of image restoration and image fusion, model-driven methods and data-driven methods are the two representative frameworks. However, both approaches have their respect…
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images
Haifeng Li, Yi Li, Guo Zhang +4
Supervised learning for semantic segmentation requires a large number of labeled samples, which is difficult to obtain in the field of remote sensing. Self-supervised learning (SSL…
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
Qiqi Zhu, Weihuan Deng, Zhuo Zheng +5
Deep learning techniques have been widely applied to hyperspectral image (HSI) classification and have achieved great success. However, the deep neural network model has a large pa…
Pan-sharpening via High-pass Modification Convolutional Neural Network
Jiaming Wang, Zhenfeng Shao, Xiao Huang +3
Most existing deep learning-based pan-sharpening methods have several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement, we propose…
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising
Zhiqiang Wang, Zhenfeng Shao, Xiao Huang +3
Hyperspectral images (HSIs) have been widely used in a variety of applications thanks to the rich spectral information they are able to provide. Among all HSI processing tasks, HSI…
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images
Libo Wang, Rui Li, Chenxi Duan +3
The fully convolutional network (FCN) with an encoder-decoder architecture has been the standard paradigm for semantic segmentation. The encoder-decoder architecture utilizes an en…
Robust Self-Ensembling Network for Hyperspectral Image Classification
Yonghao Xu, Bo Du, Liangpei Zhang
Recent research has shown the great potential of deep learning algorithms in the hyperspectral image (HSI) classification task. Nevertheless, training these models usually requires…
Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery
Chen Wu, Sihan Zhu, Jiaqi Yang +6
As the COVID-19 epidemic began to worsen in the first months of 2020, stringent lockdown policies were implemented in numerous cities throughout the world to control human transmis…
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors
Jian Ding, Enze Xie, Hang Xu +4
Unsupervised pre-training aims at learning transferable features that are beneficial for downstream tasks. However, most state-of-the-art unsupervised methods concentrate on learni…
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
Mengxi Liu, Qian Shi, Andrea Marinoni +3
Change detection, which aims to distinguish surface changes based on bi-temporal images, plays a vital role in ecological protection and urban planning. Since high resolution (HR)…
Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion
Dong Chu, Huanfeng Shen, Xiaobin Guan +4
The applications of Normalized Difference Vegetation Index (NDVI) time-series data are inevitably hampered by cloud-induced gaps and noise. Although numerous reconstruction methods…
ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images
Rui Li, Chenxi Duan
Semantic segmentation of remotely sensed images plays a crucial role in precision agriculture, environmental protection, and economic assessment. In recent years, substantial fine-…
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Jian Ding, Nan Xue, Gui-Song Xia +8
In the past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the massive variations in the scale and orientation of obj…
A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images
Rui Li, Shunyi Zheng, Ce Zhang +2
Semantic segmentation using fine-resolution remotely sensed images plays a critical role in many practical applications, such as urban planning, environmental protection, natural a…
Multi-Attribute Enhancement Network for Person Search
Lequan Chen, Wei Xie, Zhigang Tu +3
Person Search is designed to jointly solve the problems of Person Detection and Person Re-identification (Re-ID), in which the target person will be located in a large number of un…
Spatiotemporal Characteristics and Factor Analysis of SARS-CoV-2 Infections among Healthcare Workers in Wuhan, China
Peixiao Wang, Hui Ren, Xinyan Zhu +3
Studying the spatiotemporal distribution of SARS-CoV-2 infections among healthcare workers (HCWs) can aid in protecting them from exposure. Existing studies related to HCW infectio…
Privacy-preserving Travel Time Prediction with Uncertainty Using GPS Trace Data
Fang Liu, Dong Wang, Zhengquan Xu
The rapid growth of GPS technology and mobile devices has led to a massive accumulation of location data, bringing considerable benefits to individuals and society. One of the majo…