1.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN81 papers
- University of Chinese Academy of SciencesCN44 papers
- Centre National de la Recherche ScientifiqueFR12 papers
- Institut polytechnique de GrenobleFR12 papers
- Université Grenoble AlpesFR12 papers
- GIPSA-LabFR8 papers
- Laboratoire Jean KuntzmannFR6 papers
- Xi'an Jiaotong UniversityCN6 papers
- Chongqing UniversityCN5 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- International Research Center of Big Data for Sustainable Development GoalsCN5 papers
- Tsinghua UniversityCN5 papers
11 papers · 1 filter
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution
Yue Shi, Liangxiu Han, Lianghao Han +3
Realistic hyperspectral image (HSI) super-resolution (SR) techniques aim to generate a high-resolution (HR) HSI with higher spectral and spatial fidelity from its low-resolution (L…
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng
Hyperspectral image has become increasingly crucial due to its abundant spectral information. However, It has poor spatial resolution with the limitation of the current imaging mec…
Group-based Distinctive Image Captioning with Memory Attention
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Describing images using natural language is widely known as image captioning, which has made consistent progress due to the development of computer vision and natural language gene…
Double Similarity Distillation for Semantic Image Segmentation
Yingchao Feng, Xian Sun, Wenhui Diao +2
The balance between high accuracy and high speed has always been a challenging task in semantic image segmentation. Compact segmentation networks are more widely used in the case o…
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
Danfeng Hong, Zhu Han, Jing Yao +4
Hyperspectral (HS) images are characterized by approximately contiguous spectral information, enabling the fine identification of materials by capturing subtle spectral discrepanci…
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Xuan Yang, Shanshan Li, Zhengchao Chen +5
Semantic segmentation is an essential part of deep learning. In recent years, with the development of remote sensing big data, semantic segmentation has been increasingly used in r…
Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model
Danfeng Hong, Jingliang Hu, Jing Yao +2
As remote sensing (RS) data obtained from different sensors become available largely and openly, multimodal data processing and analysis techniques have been garnering increasing i…
Dynamics of Quantum Hall Interfaces
Qi Li, Ken K. W. Ma, Ruojun Wang +3
A quantum Hall (QH) interface is different from an ordinary QH edge, as the latter has its location determined by the confining potential, while the former can be unpinned and beha…
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing
Lianru Gao, Zhicheng Wang, Lina Zhuang +3
Tensor-based methods have been widely studied to attack inverse problems in hyperspectral imaging since a hyperspectral image (HSI) cube can be naturally represented as a third-ord…
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations
Lina Zhuang, Lianru Gao, Bing Zhang +2
Hyperspectral imaging measures the amount of electromagnetic energy across the instantaneous field of view at a very high resolution in hundreds or thousands of spectral channels.…
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy +7
Hyperspectral Imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained in each pixel. Notably…