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
12 papers · 1 filter
Mapping melliferous tree species in Kenya via one-class classification with hyperspectral unsupervised domain adaptation
Zhaozhi Luo, Janne Heiskanen, Ilja Vuorinne +6
The beekeeping sector holds significant potential for livelihood diversification among the agropastoral communities in Kenya. Melliferous tree species play a critical role by provi…
A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method
Jing Sun, Qiangqiang Yuan, Huanfeng Shen +2
The objective of image super-resolution is to reconstruct a high-resolution (HR) image with the prior knowledge from one or several low-resolution (LR) images. However, in the real…
ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model
Hongruixuan Chen, Jian Song, Chengxi Han +2
Convolutional neural networks (CNN) and Transformers have made impressive progress in the field of remote sensing change detection (CD). However, both architectures have inherent s…
Geometric Wide-Angle Camera Calibration: A Review and Comparative Study
Jianzhu Huai, Yuan Zhuang, Yuxin Shao +4
Wide-angle cameras are widely used in photogrammetry and autonomous systems which rely on the accurate metric measurements derived from images. To find the geometric relationship b…
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…
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…
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…
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)…
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution
Jiang He, Jie Li, Qiangqiang Yuan +2
Hyperspectral images are crucial for many research works. Spectral super-resolution (SSR) is a method used to obtain high spatial resolution (HR) hyperspectral images from HR multi…
Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images
Rui Li, Shunyi Zheng, Chenxi Duan +3
Semantic segmentation of remote sensing images plays an important role in a wide range of applications including land resource management, biosphere monitoring and urban planning.…
Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity-Regularized Tensor Optimization
Chenxi Duan, Jun Pan, Rui Li
In remote sensing images, the presence of thick cloud accompanying cloud shadow is a high probability event, which can affect the quality of subsequent processing and limit the sce…
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images
Rui Li, Chenxi Duan, Shunyi Zheng +2
Semantic segmentation of remotely sensed images plays an important role in land resource management, yield estimation, and economic assessment. U-Net, a deep encoder-decoder archit…