tacofoundation/sen2neon

SEN2NEON是一个由Sentinel-2多光谱图像和NEON高光谱图像组成的配对数据集，用于验证超分辨率算法。它包含低分辨率和高分辨率图像，分别具有10米和2.5米的分辨率，这些图像在空间和时间上是对齐的。数据集旨在通过利用NEON传感器提供的高分辨率地表反射率来提高Sentinel-2图像的分辨率，从而推动图像超分辨率和光谱-空间数据集成领域的研究。

The SEN2NEON dataset consists of paired Sentinel-2 multispectral images and NEON hyperspectral images for validating super-resolution algorithms. It includes low-resolution and high-resolution images with resolutions of 10 meters and 2.5 meters, respectively, which are spatially and temporally aligned. The dataset aims to enhance the resolution of Sentinel-2 images by utilizing the high-resolution surface reflectance provided by the NEON sensor, thus promoting research in image super-resolution and spectral-spatial data integration.