|
|
|
||||||||||||
|
|||||||||||||||
|
|
|
A Self-Supervised Spaceborne Multispectral and
Hyperspectral Image Fusion Unrolling Network |
||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Abstract
WHU-MHF image fusion dataset is introduced as a benchmark spaceborne multispectral and hyperspectral image fusion dataset, which is generated using paired multispectral and hyperspectral images from ZY-1-02D, including a simulated and a real subset. The real-data experiment consisted of LR hyperspectral images and HR multispectral images with the ground sample distance of 30m–10m, respectively. 1.The WHU-MHF dataset The whole WHU-MHF dataset consists of six pairs of LR hyperspectral and HR multispectral images. In the experiment, the hyperspectral images were divided into 40 × 40 overlapping patches, and the multispectral images were divided into 120 ×120 overlapping patches, with a total of 740 image pairs, 50% of which were randomly selected for the training dataset and the remaining for the testing. Fig 1 presents the overview of the WHU-MHF dataset.
Table 1 presents details of the proposed WHU-MHF dataset.
2.Experiment Fig 2 presents the fusion results obtained with the WH-MHF dataset.
3.Download We hope that the release of the WHU-MHF dataset will promote the development of multispectral and hyperspectral image fusion. You can click the link below to download the data: WHU-MHF dataset ● Baidu Drive: download ● Google Drive: download 4.Copyright The copyright belongs to Intelligent Data Extraction, Analysis and Applications of Remote Sensing(RSIDEA) academic research group, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, China. The WHU-MHF dataset only can be used for academic purposes and need to cite the following paper, but any commercial use is prohibited. Any form of secondary development, including annotation work, is strictly prohibited for this dataset. Otherwise, RSIDEA of Wuhan University reserves the right to pursue legal responsibility. Z. Zhu, X. Wang, G. Li and Y. Zhong, "A Self-Supervised Spaceborne Multispectral and Hyperspectral Image Fusion Unrolling Network," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-12, 2024, Art no. 5520712, doi: 10.1109/TGRS.2024.3413023. ● 论文链接 5.Contact If you have any the problem or feedback in using WHU-MHF dataset, please contact: Mr. Zengliang Zhu: [email protected] Dr. Xinyu Wang: [email protected] Prof. Yanfei Zhong: [email protected] Reference: [1]Z. Zhu, X. Wang, G. Li and Y. Zhong, "A Self-Supervised Spaceborne Multispectral and Hyperspectral Image Fusion Unrolling Network," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-12, 2024, Art no. 5520712, doi: 10.1109/TGRS.2024.3413023. |
|
