The download link：https://drive.google.com/drive/folders/1a_DXtbRfHmCUZcPy0ZPRZ2ld1V6aOUjn

Jinjin Li, Jiacheng Zhang, Chao Yang, Huiyu Liu, Yangang Zhao, Yuanxin Ye*. Comparative analysis of pixel-level fusion algorithms and a new high-resolution dataset for SAR and optical image fusion. Remote Sens. 2023, 15(23), 5514; https://doi.org/10.3390/rs15235514 


#introduction
YYX-OPT-SAR is a fully annotated high-resolution remote sensing dataset for the fusion and classification of optical and SAR images, combining RGB optical images with SAR images at a resolution of 0.5 meters. At the same time, we have also made classification labels for optical images, which are divided into 7 categories.
It contains 150 pairs of 512×512 images covering urban, suburban and mountains. The geographical range of SAR image acquisition is 110.135°E-110.160°E, and the latitude is 34.593°N-34.626°N. To form high-resolution SAR and optical image pairs, we downloaded optical images of the corresponding areas from Google Earth.

label Pixel values 0-6 correspond to the following categories:
background
Bare ground
low vegetation
trees
houses
water
roads