DsTer: A dense spectral transformer for remote sensing spectral super-resolution, International Journal of Applied Earth Observation and Geoinformation 2022, J He, et al. Implicit Neural Representation Learning
scikit-image = 0.17.2 Contact : If you have any questions, please feel free to contact me at huq1an@whu.edu.cn Citation : @article{hu2024exploring, title={Exploring the Spectral Prior for Hyperspectral Image Super-resolution}, author={Hu, Qian and Wang, Xinya and Jiang, Junjun and Zhan...
论文地址:https://arxiv.org/abs/2409.06705 代码地址:https://github.com/Baisonm-Li/HSR-KAN该论文提出了一种基于KAN的高光谱图像超分辨率方法,主要贡献包括:(1)提出了一个融合 LR-HSI 和 HR-MSI 的模块,…
Northwestern Polytechnical University, Xi'an, China 3Northwestern Polytechnical University in Shenzhen, Shenzhen, China Abstract The key for fusion based hyperspectral image (HSI) super-resolution (SR) is to infer the posteriori of a latent HSI using appropriate image prio...
The small-sample problem that widely existed in the hyperspectral image (HSI) super-resolution task will lead to insufficient feature extraction in network training. Therefore, it is necessary to design an effective network to extract the feature of HSIs fully. In addition, existing HSI super-...
Hyperspectral image super-resolution with rgb image super-resolution as an auxiliary task 把H*W*D的HSI拆成一组H*W*S的hsi,然后把rgb从H*W*3升维成H*W*S 针对第二个问题 本文提出了dual-stream Transformer (DSTrans) 具体来说 有两个不同的注意力机制Multi-Dconv-head spectral attention (MDSA) an...
The recent advancement of deep learning techniques has made great progress on hyperspectral image super-resolution (HSI-SR). Yet the development of unsupervised deep networks remains challenging for this task. To this end, we propose a novel coupled unmi
Ground truth of 19 classes was collected via a field survey and visual inspection using high-resolution color images. The dataset has been used for various research purposes, including image super-resolution and image classification. 5.1.5 ICVL hyperspectral database The ICVL database (Arad & Ben...
hyperspectral image super-resolution. Contribute to Tomchenshi/MSDformer development by creating an account on GitHub.
Despite the proven efficacy of hyperspectral imaging in many computer vision tasks, its widespread use is hindered by its low spatial resolution, resulting from hardware limitations. We propose a hyperspectral image super resolution approach that fuses a high resolution image with the low resolution ...