Data for: MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution

Name: Data for: MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution
Creator: Warsaw University of Technology; KP Labs; KP Labs / Silesian University of Technology; KP Labs / Warsaw University of Technology
Published: 2022-01-01T00:00:00+08:00

Harvard Dataverse2023-06-22 更新2026-04-09 收录

遥感图像超分辨率

卫星影像增强

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/1JMRAT 数据链接链接失效反馈

官方服务：

资源简介：

The data package contains the evaluation dataset for multi-image super-resolution (MISR) methods for Sentinel-2 multispectral images (MuS2 dataset). Images are grouped into 91 scenes. Each scene folder contains 14 or 15 Sentinel-2 low-resolution (LR) images for each band (total 12 bands) and Level-2A processing product. High-resolution (HR) WorldView-2 band images (numbered from 0 to 7), as well as a panchromatic image, are stored in the "hr_resized" folder in each scene folder. The resolution of HR images is 3x larger than the resolution of Sentinel-2 10m GSD images (bands 2, 3, 4, 8). Sentinel-2 and WorldView-2 band images can be coupled for evaluation as follows: b2 - mul_band_1, b3 - mul_band_2, b4 - mul_band_4, b8 - mul_band_6. Additionally, the change masks, relevance masks, and final combined masks described in detail in the related publication, are also included in the package.

提供机构：

Warsaw University of Technology; KP Labs; KP Labs / Silesian University of Technology; KP Labs / Warsaw University of Technology

创建时间：

2022-01-01