AIRSAT-Bench: Optical-SAR Bimodal Remote Sensing Interpretation Benchmark Dataset

The AIRSAT-Bench (Optical-SAR Bimodal Remote Sensing Interpretation Benchmark Dataset) is a large-scale, pixel-level optical-SAR bimodal coregistered dataset designed for intelligent geospatial feature extraction and related tasks, aimed at advancing research in multi-source remote sensing collaborative interpretation.Leveraging the AIRSAT constellation developed by CAS Satellite (Zhongke Weixing), the dataset encompasses both optical and SAR satellite modalities, covering a typical agricultural area in Laiwu, Shandong Province.

The SAR imagery is acquired from two on-orbit satellites, AIRSAT-05 and AIRSAT-08. Specifically, AIRSAT-05 operates in X-band with single, dual, and full polarization imaging capabilities, achieving a best resolution better than 1 meter; AIRSAT-08 operates in X-band with dual polarization, also achieving a best resolution better than 1 meter. The optical imagery is sourced from the on-orbit AIRSAT-07 satellite, with a best resolution better than 1 meter.The data annotation pipeline employs a four-tier quality control mechanism comprising "AI pre-labeling, manual refinement, cross-validation, and expert final review," encompassing seven typical land cover categories: maize, wheat, greenhouses, roads, buildings, rivers and lakes, and ponds.